{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/statistical"},"x-facet":{"type":"skill","slug":"statistical","display":"Statistical","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_178bbafc-a95"},"title":"Quantitative Trader - Central Liquidity Strategies","description":"<p>We are seeking a Quantitative Trader to join our Central Liquidity Strategies team. As a Quantitative Trader, you will lead a wide range of projects involving the design and implementation of strategies to reduce trading costs for delta-one and factor products. You will also monitor and manage risks within company guidelines and risk parameters, including operational, portfolio, financing, and basis risk.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead a wide range of projects involving the design and implementation of strategies to reduce trading costs for delta-one and factor products.</li>\n<li>Monitor and manage risks within company guidelines and risk parameters, including operational, portfolio, financing, and basis risk.</li>\n<li>Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>6+ years in a trading or execution role.</li>\n<li>Bachelor&#39;s degree in Mathematics, Physics, Finance, Economics, Econometrics, Financial Engineering, Operations Research, or similar.</li>\n<li>Experience with factor modeling, transaction cost analysis (TCA) models, statistical modeling, and portfolio analytics.</li>\n<li>Strong operational and event risk management skills; experience managing systematic strategies; familiarity with equity markets/asset classes.</li>\n<li>Familiarity with ETFs, futures, swaps, and vanilla derivatives is a plus (and can be learned on the desk).</li>\n<li>Self-sufficient programming ability in Python and/or kdb+ for analysis and research, plus Git, Unix/Linux, Bash, etc.</li>\n<li>Strong communication skills and the ability to work effectively in a team environment.</li>\n</ul>\n<p>The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_178bbafc-a95","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synthetic Products Book","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755942806171","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $250,000","x-skills-required":["factor modeling","transaction cost analysis (TCA) models","statistical modeling","portfolio analytics","operational risk management","event risk management","equity markets/asset classes","ETFs","futures","swaps","vanilla derivatives","Python","kdb+","Git","Unix/Linux","Bash"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:42.537Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"factor modeling, transaction cost analysis (TCA) models, statistical modeling, portfolio analytics, operational risk management, event risk management, equity markets/asset classes, ETFs, futures, swaps, vanilla derivatives, Python, kdb+, Git, Unix/Linux, Bash","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ee3aa8d-ab3"},"title":"Senior Scientist, Viral Vector Process Development, Upstream","description":"<p>We are looking for a highly motivated and experienced Senior Scientist, Viral Vector Process Development (Upstream) to join our team. As a key member of our Cell Therapy modalities portfolio, you will play a critical role in building and leading a high-performing team that accelerates AstraZeneca&#39;s emerging Cell Therapy modalities portfolio.</p>\n<p>Your primary focus will be on designing, executing, and optimizing upstream Lentiviral Vector (LVV) processes with a primary focus on suspension bioreactor platforms at clinical and commercial scales. 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As a Material Handler, you will be responsible for following documented processes and procedures, maintaining physical transport of materials, and completing all required SAP transactions using appropriate PPE and material handling equipment.</p>\n<p>The ideal candidate will have a high school diploma or GED, working knowledge of Microsoft Office applications, and the ability to operate independently. 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As a Material Handler, you will be responsible for following all documented processes and procedures, maintaining physical transport of materials, and completing all required Statistical Analysis Plan (SAP) transactions using appropriate Personal Protective Equipment (PPE) and material handling equipment.</p>\n<p>The ideal candidate will have a high school diploma or General Educational Development (GED), demonstrate working knowledge of Microsoft (MS) Office applications, and be able to operate independently. Previous experience in a similar role is preferred, but not required.</p>\n<p>As a Material Handler at Bayer, you will have the opportunity to work in a team environment, support strong attention to detail, and quickly learn new Information Technology (IT) systems and tools.</p>\n<p>We offer a competitive hourly wage of $17.50 per hour, with additional compensation possible through a bonus or incentive program. Our benefits package includes health care, vision, dental, retirement, PTO, sick leave, and more.</p>\n<p>If you&#39;re looking for a challenging and rewarding role in a dynamic organization, we encourage you to apply now.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c3309842-945","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976918161","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$17.50 per hour","x-skills-required":["Microsoft Office","Personal Protective Equipment","Material handling equipment","Statistical Analysis Plan (SAP)","Teamwork","Attention to detail"],"x-skills-preferred":["Previous experience in a similar role","Ability to learn new IT systems and tools"],"datePosted":"2026-04-18T22:12:13.646Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Saxonburg"}},"employmentType":"FULL_TIME","occupationalCategory":"Manufacturing","industry":"Healthcare","skills":"Microsoft Office, Personal Protective Equipment, Material handling equipment, Statistical Analysis Plan (SAP), Teamwork, Attention to detail, Previous experience in a similar role, Ability to learn new IT systems and tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1e86dff4-06d"},"title":"Staff Engineer, Electromechanical Design","description":"<p>At Bayer, we&#39;re seeking a Staff Engineer, Electromechanical Design to join our team in Pittsburgh, PA. As a key member of our Device Automation Capabilities team, you will be responsible for designing and implementing system test solutions for complex electromechanical assemblies and combination products.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and implement system test solutions for complex electromechanical assemblies and combination products</li>\n<li>Stay ahead of emerging technologies and methodologies to enhance our manufacturing capabilities</li>\n<li>Review and analyze system specifications</li>\n<li>Spearhead the development of next-generation test equipment fixtures and processes</li>\n<li>Collaborate with cross-functional teams, external partners, and manufacturing sites to deliver projects on time and within budget</li>\n<li>Mentor junior engineers and promote Design for Excellence (DfX) initiatives</li>\n<li>Create and maintain comprehensive technical documentation, ensuring compliance with safety, quality, and regulatory standards</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Minimum of a Bachelor&#39;s Degree or an equivalent combination of education and experience</li>\n<li>Industry experience in the medical device sector (or other heavily regulated industry)</li>\n<li>Knowledge of best practices in software development lifecycle with proven ability in multiple languages</li>\n<li>Familiarity with MCAD and ECAD tools</li>\n<li>Proficient in statistical analysis and the use of statistical tools to interpret data, identify trends, and implement solutions that enhance accuracy and efficiency in systems testing</li>\n<li>Proven track record of leading and mentoring teams</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>At least 4 years of relevant industry experience in the medical device sector (or other heavily regulated industry)</li>\n<li>Experience developing dashboards in an informatics tool such as Power BI or Tableau</li>\n</ul>\n<p>This position will be available for application until at least 4/27/2026. Employees can expect to be paid a salary between $112,400.00 - $168,600.00. Additional compensation may include a bonus or commission (if relevant). 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Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1f35a9c-2e5"},"title":"Staff Data Scientist","description":"<p>We are looking for a Staff Product Data Scientist to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy.</p>\n<p>You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>\n<li>Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>\n<li>Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>\n<li>Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>\n<li>Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>\n<li>Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.</li>\n<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>\n<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>\n<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>\n<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>\n<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>\n<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>\n<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>\n<li>Experience enabling self-service analytics or citizen data science capabilities.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1f35a9c-2e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7731595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$253,000 USD","x-skills-required":["data science","machine learning","Python","SQL","statistical modeling","data engineering","analytics engineering","data analysts"],"x-skills-preferred":["high-growth SaaS","cybersecurity","identity","enterprise software"],"datePosted":"2026-04-18T15:58:37.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; 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Experience with reliability engineering, SLA development, and failure-mode analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>\n</ul>\n<ul>\n<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>\n</ul>\n<ul>\n<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>\n</ul>\n<ul>\n<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>\n</ul>\n<ul>\n<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).</li>\n</ul>\n<ul>\n<li>Track record of cross-functional collaboration across hardware, software, and facilities teams.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Master&#39;s or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Experience with accelerator-class deployments and their power management interfaces.</li>\n</ul>\n<ul>\n<li>Background in control theory, dynamical systems, or cyber-physical systems design.</li>\n</ul>\n<ul>\n<li>Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.</li>\n</ul>\n<ul>\n<li>Familiarity with reliability engineering methods.</li>\n</ul>\n<ul>\n<li>Experience with SLA development, availability modeling, or service credit frameworks.</li>\n</ul>\n<ul>\n<li>Exposure to ML/optimization techniques applied to infrastructure or energy systems.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The annual compensation range for this role is $320,000-$405,000 USD.</p>\n<p><strong>Benefits</strong></p>\n<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with our team.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b05b9f90-7d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5159642008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["data center power distribution","cooling architectures","IT load profiles","reliability engineering","SLA development","failure-mode analysis","statistical modeling","simulation","infrastructure capacity","power utilization","SCADA/BMS/EPMS","telemetry pipelines","control systems","accelerator deployments","power management interfaces","demand response","grid interaction","behind-the-meter generation","Python","automation","data center infrastructure optimizations","SCADA","BMS","EPMS","industrial control 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identifying and correcting miscalibrated responses</li>\n</ul>\n<ul>\n<li>Design and implement prompting pipelines to generate data that improves model accuracy and honesty</li>\n</ul>\n<ul>\n<li>Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims</li>\n</ul>\n<ul>\n<li>Create tools to help human evaluators efficiently assess model outputs for accuracy</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have an MS/PhD in Computer Science, ML, or related field</li>\n</ul>\n<ul>\n<li>Possess strong programming skills in Python</li>\n</ul>\n<ul>\n<li>Have industry experience with language model finetuning and classifier training</li>\n</ul>\n<ul>\n<li>Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy</li>\n</ul>\n<ul>\n<li>Care about AI safety and the accuracy and honesty of both current and future AI systems</li>\n</ul>\n<ul>\n<li>Have experience in data science or the creation and curation of datasets for finetuning LLMs</li>\n</ul>\n<ul>\n<li>An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Published work on hallucination prevention, factual grounding, or knowledge integration in language models</li>\n</ul>\n<ul>\n<li>Experience with fact-grounding techniques</li>\n</ul>\n<ul>\n<li>Background in developing confidence estimation or calibration methods for ML models</li>\n</ul>\n<ul>\n<li>A track record of creating and maintaining factual knowledge bases</li>\n</ul>\n<ul>\n<li>Familiarity with RLHF specifically applied to improving model truthfulness</li>\n</ul>\n<ul>\n<li>Worked with crowd-sourcing platforms and human feedback collection systems</li>\n</ul>\n<ul>\n<li>Experience developing evaluations of model accuracy or hallucinations</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>Visa sponsorship</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3f9344a5-f6e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4532887008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["Python","Language model finetuning","Classifier training","Experimental design","Statistical analysis","Data science","Dataset creation","Uncertainty metrics","Calibration methods"],"x-skills-preferred":["Hallucination prevention","Factual grounding","Confidence estimation","Knowledge integration","RLHF","Crowd-sourcing platforms","Human feedback collection","Evaluations of model accuracy"],"datePosted":"2026-04-18T15:57:52.335Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Language model finetuning, Classifier training, Experimental design, Statistical analysis, Data science, Dataset creation, Uncertainty metrics, Calibration methods, Hallucination prevention, Factual grounding, Confidence estimation, Knowledge integration, RLHF, Crowd-sourcing platforms, Human feedback collection, Evaluations of model accuracy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f782aa36-706"},"title":"Staff Product Engineer, AI","description":"<p>We&#39;re looking for Staff Product Engineers to join the AI Group to build Intercom&#39;s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack.</p>\n<p>Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers&#39; hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support.</p>\n<p>Our team&#39;s dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.</p>\n<p>We test and measure the real customer impact of each model we deploy. 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This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.</li>\n<li>Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it&#39;s robust and scalable for real-world use.</li>\n<li>Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.</li>\n<li>Contribute to all phases of software development including ideation, prototyping, and implementation and testing.</li>\n<li>Play an active role in the hiring, mentoring, and career development of other engineers.</li>\n<li>Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.</li>\n</ul>\n<p>We&#39;re looking for experienced product engineers who take an analytical approach to development and have some hands-on experience with ML systems. You should have:</p>\n<ul>\n<li>10+ years of experience shipping high-quality products.</li>\n<li>No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.</li>\n<li>You can demonstrate significant impact in the work that you have done.</li>\n<li>You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.</li>\n<li>Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn&#39;t need to be a language that we use here!</li>\n<li>Strong willingness to fight for good outcomes - Bias towards progress over perfection - BSc in Computer Science, Maths or Statistics or related discipline</li>\n</ul>\n<p>Bonus skills &amp; attributes:</p>\n<ul>\n<li>Previous experience in data analytics, or statistical role</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f782aa36-706","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7393955","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","ML","software engineering","Ruby","Javascript","data analytics","statistical role"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:38.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, ML, software engineering, Ruby, Javascript, data analytics, statistical role"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90312625-68e"},"title":"Senior Software Engineer - Traffic Management","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. 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Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90312625-68e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7463839","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Go","Python","Rust","C","C++","Networking protocols","HTTP","TLS","CDN networks","Distributed systems","AI-powered tools"],"x-skills-preferred":["Traffic engineering","Automated load balancing","Traffic prioritization","Statistical-analysis techniques","Control theory","TCP/IP","Internet routing"],"datePosted":"2026-04-18T15:57:34.283Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Rust, C, C++, Networking protocols, HTTP, TLS, CDN networks, Distributed systems, AI-powered tools, Traffic engineering, Automated load balancing, Traffic prioritization, Statistical-analysis techniques, Control theory, TCP/IP, Internet routing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8514594a-2d3"},"title":"Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference","description":"<p>We are looking for a Senior Staff Data Scientist to join our team. As a Senior Staff Data Scientist, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.</p>\n<p>Your work will set the default methods for how we answer questions like:</p>\n<ul>\n<li>Did this actually cause the outcome we care about?</li>\n<li>How sure are we, and what should we do given that uncertainty?</li>\n<li>What evidence is strong enough to change strategy, policies, or spend?</li>\n</ul>\n<p>A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own causal inference and experimentation standards across Headway.</li>\n<li>Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.</li>\n<li>Build the confidence ladder for company knowledge.</li>\n<li>Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths.</li>\n<li>Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.</li>\n<li>Design the learning strategy for our hardest questions.</li>\n<li>Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics.</li>\n<li>Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.</li>\n<li>Raise the organization’s statistical maturity.</li>\n<li>Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing).</li>\n<li>Build training, playbooks, and reusable tooling.</li>\n<li>Be the escalation point for difficult measurement problems.</li>\n<li>Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.</li>\n<li>Partner with Data Platform and Engineering to make rigor scalable.</li>\n<li>Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring.</li>\n<li>Help define the minimal foundations required for trustworthy learning.</li>\n<li>Build a culture of clear claims.</li>\n<li>Establish norms for separating facts, estimates, assumptions, and uncertainties.</li>\n<li>Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.</li>\n<li>Mentor and set the bar.</li>\n<li>Coach other data scientists and analytics leaders.</li>\n<li>Create review standards for causal work,</li>\n<li>Support hiring for methodological depth,</li>\n<li>Represent Headway’s measurement philosophy internally and externally when appropriate.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).</li>\n<li>Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.</li>\n<li>Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.</li>\n<li>Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.</li>\n<li>Track record of setting org-wide standards that materially improved decision quality and execution velocity.</li>\n<li>Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.</li>\n<li>Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.</li>\n<li>Experience with experimentation under interference and network effects.</li>\n<li>Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.</li>\n<li>Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).</li>\n</ul>\n<p>Compensation and Benefits: The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.</p>\n<ul>\n<li>Benefits offered include:</li>\n<li>Equity compensation</li>\n<li>Medical, Dental, and Vision coverage</li>\n<li>HSA / FSA</li>\n<li>401K</li>\n<li>Work-from-Home Stipend</li>\n<li>Therapy Reimbursement</li>\n<li>16-week parental leave for eligible employees</li>\n<li>Carrot Fertility annual reimbursement and membership</li>\n<li>13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st</li>\n<li>Flexible PTO</li>\n<li>Employee Assistance Program (EAP)</li>\n<li>Training and professional development</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8514594a-2d3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751656004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$249,600 - $312,000","x-skills-required":["causal inference","experimentation","advanced statistics","Bayesian methods","SQL","Python","R","data analysis","data science"],"x-skills-preferred":["marketplaces","healthcare","insurance","complex incentive systems","experimentation under interference and network effects","experimentation platforms","analysis libraries","statistical tooling","causal graphs","uplift modeling","decision theory framing"],"datePosted":"2026-04-18T15:57:22.943Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"causal inference, experimentation, advanced statistics, Bayesian methods, SQL, Python, R, data analysis, data science, marketplaces, healthcare, insurance, complex incentive systems, experimentation under interference and network effects, experimentation platforms, analysis libraries, statistical tooling, causal graphs, uplift modeling, decision theory framing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":249600,"maxValue":312000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7c809f8b-e66"},"title":"Sr. Data Scientist, Core","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Core organization, where you&#39;ll shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve complex engineering challenges. You&#39;ll collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others to drive product development and introduce scientific rigor into real-world products serving hundreds of millions of users.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love</li>\n<li>Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users</li>\n<li>Building and prototyping analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>\n<li>Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>\n<li>Extensive experience solving analytical problems using quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or other related fields</li>\n<li>Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn</li>\n<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output</li>\n<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li>\n<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>\n<li>A team player who&#39;s able to partner with cross-functional leadership to quickly turn insights into actions</li>\n</ul>\n<p>Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7c809f8b-e66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6087213","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,764-$287,749 USD","x-skills-required":["Quantitative modeling","Experimentation","Algorithms","Machine learning","Statistical modeling","Forecasting","Econometrics","SQL","Python","R"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:11.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Quantitative modeling, Experimentation, Algorithms, Machine learning, Statistical modeling, Forecasting, Econometrics, SQL, Python, R","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139764,"maxValue":287749,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72d14986-43f"},"title":"Manager of Forward Deployed Engineering, Applied AI","description":"<p>Job Title: Manager of Forward Deployed Engineering, Applied AI</p>\n<p>About the Role: The Claude Agentic Solutions team is Anthropic&#39;s forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.</p>\n<p>You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team&#39;s vertical expertise, and ensure every engagement produces outcomes worth repeating.</p>\n<p>Responsibilities:</p>\n<p>Tech Leadership</p>\n<ul>\n<li>Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.</li>\n<li>Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.</li>\n<li>Develop your team&#39;s vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.</li>\n<li>Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.</li>\n<li>Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.</li>\n<li>Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.</li>\n</ul>\n<p>Use Case Library &amp; Reusable Patterns</p>\n<ul>\n<li>Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.</li>\n<li>Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.</li>\n<li>Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.</li>\n<li>Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.</li>\n</ul>\n<p>Commercial Leadership</p>\n<ul>\n<li>Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.</li>\n<li>Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.</li>\n<li>Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.</li>\n<li>Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.</li>\n<li>Comfort operating in ambiguity and building processes where none exists , you&#39;ve worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.</li>\n<li>Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.</li>\n<li>A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.</li>\n<li>Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.</li>\n<li>Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.</li>\n<li>Experience navigating regulated industry environments.</li>\n<li>Executive presence and communication skills: you can present to a board or run a difficult conversation.</li>\n</ul>\n<p>Annual Compensation Range:</p>\n<p>£255,000-£325,000 GBP</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_72d14986-43f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183983008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£255,000-£325,000 GBP","x-skills-required":["Enterprise AI/ML delivery","Management consulting","Enterprise tech professional services","Technical leadership","Team management","Client relationship management","Business 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You&#39;ll lead a newly combined organisation that brings together data-driven insights across the customer lifecycle, from acquisition through adoption and expansion.</p>\n<p>Reporting to the Vice President, Enterprise Data, you&#39;ll partner closely with senior leaders to improve how teams make decisions, measure performance, and drive outcomes, with a focus on shared views of usage and consumption models and major product launches.</p>\n<p>You&#39;ll oversee two critical functions: Marketing Analytics (including demand generation, lifecycle marketing, brand, web, developer relations, localization, monetization, and campaign and event effectiveness) and Product Data Insights (including DevOps, Security, Platforms, AI products, new usage and consumption models, product adoption, feature usage, and customer behaviour analysis).</p>\n<p>Key responsibilities include:</p>\n<p>Defining and executing a unified analytics strategy across Marketing and Product, including shared metrics, measurement frameworks, and dashboards that serve as a single source of truth and connect marketing investment to product adoption, usage, and customer outcomes.</p>\n<p>Building clear operating rhythms and ways of working that close historical gaps and help Marketing and Product make consistent, data-informed decisions.</p>\n<p>Partnering with Marketing and Product leadership, including the Chief Product &amp; Marketing Officer and other senior stakeholders, to provide actionable insights and executive-ready recommendations that shape go-to-market plans, product launches, roadmap prioritisation, and user experience improvements.</p>\n<p>Solving complex analytics problems across both functions, including attribution modelling, lead scoring optimisation, campaign and event effectiveness, product adoption and feature usage analysis, and analytics for AI-powered features (including instrumentation, usage, and cost drivers).</p>\n<p>Building and maintaining forecasting and scenario modelling frameworks in partnership with Finance, Product, and go-to-market leaders, tying pipeline, recurring revenue, and usage or consumption models to planning and investment decisions.</p>\n<p>Establishing and scaling an experimentation programme across Marketing and Product, setting standards for hypothesis design, test methodology, instrumentation requirements, and clear readouts that translate results into decisions.</p>\n<p>Building strong partnerships with data engineering, engineering, and legal, privacy, and security teams to translate business questions into technical requirements, prioritise telemetry and data model work, and improve reliability, quality, accessibility, and compliance in the analytics stack.</p>\n<p>Hiring, mentoring, and developing leaders and team members, raising the bar for strategic thinking, stakeholder partnership, and end-to-end ownership across the analytics organisation.</p>\n<p>Requirements include:</p>\n<p>Strategic analytics leadership across both marketing analytics and product analytics, ideally in B2B SaaS or other high-growth technology environments.</p>\n<p>Experience building, leading, and developing multi-layer analytics teams (including hiring, managing managers, and coaching leaders).</p>\n<p>Ability to define and operationalise end-to-end measurement frameworks across Marketing and Product, including shared KPIs and clear metric definitions.</p>\n<p>Strong analytical and technical skills, including SQL; statistical analysis and experimentation (A/B and multivariate testing); forecasting and scenario modelling; and advanced analytics techniques.</p>\n<p>Experience with data visualisation and BI tools (Tableau or similar), with a track record of building executive-ready reporting and narratives for senior leaders.</p>\n<p>Proven partnership with Engineering and Data Engineering to translate business needs into telemetry, data models, and analytics requirements, and to improve reliability and delivery across the analytics stack.</p>\n<p>Experience collaborating with Legal, Privacy, and Security partners to design compliant telemetry and data-collection approaches that respect regulations and customer expectations.</p>\n<p>Ability to influence senior leaders through clear communication and actionable recommendations, and to work effectively in a fully remote, asynchronous environment while adopting GitLab&#39;s values and ways of working.</p>\n<p>The base salary range for this role&#39;s listed level is currently $184,400-$314,400 USD for residents of the United States only.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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benchmark creation, experimentation, and synthesis to high-level insights for prioritization.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Conduct advanced data analysis to extract actionable insights that inform strategic decisions.</li>\n<li>Collaborate closely with business teams, providing data-driven insights to support strategic decisions.</li>\n<li>Analyze broad data to understand the impact of incentives on bookings, attach rate, revenue, profitability, occupancy, rebooking rate, churn, and other key metrics.</li>\n<li>Define new metrics and identify leading indicators of key business outcomes.</li>\n<li>Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks.</li>\n<li>Conduct A/B tests to improve business performance and maximize incrementality.</li>\n<li>Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage 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The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0cc5ce63-a12","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7440935","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000-$221,000 USD","x-skills-required":["Advanced data analysis","Metric definition","Benchmark creation","Experimentation","Synthesis","Data-driven insights","SQL","Python or R","AI-assisted analytics","Econometric and statistical analysis"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:28.993Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Analytics","industry":"Travel and Hospitality","skills":"Advanced data analysis, Metric definition, Benchmark creation, Experimentation, Synthesis, Data-driven insights, SQL, Python or R, AI-assisted analytics, Econometric and statistical analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":221000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_158a429c-4d8"},"title":"Senior Data Scientist - Product Analytics","description":"<p>We are seeking a Senior Data Scientist to join our Research, Analytics &amp; Data Science (RAD) team. The RAD team uses data and insights to drive evidence-based decision-making. We&#39;re a team of data scientists and product researchers who use data to unlock actionable insights about our customers, products, and business.</p>\n<p>As a Senior Data Scientist, you will partner with product teams to help them identify important questions and answer those questions with data. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.</p>\n<p>Your responsibilities will include designing, building, and updating end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. 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You should also have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision.</p>\n<p>Excellent communication skills (technical and non-technical) and a focus on driving impact are essential. A strong growth mindset and sense of ownership, innate passion, and curiosity are also required.</p>\n<p>Experience with a scientific computing language (such as R or Python) is necessary. Experience with BI/Visualization tools like Tableau, Superset, and Looker is a bonus. Experience working with product teams and leveraging AI tools to boost efficiency and creativity across the data science workflow is also desirable.</p>\n<p>We offer a competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. 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the company.</p>\n<p>What you&#39;ll do</p>\n<p>As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex.</p>\n<p>You&#39;ll go beyond building dashboards,you&#39;ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership.</p>\n<p>You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team&#39;s work.</p>\n<p>This role sits at the intersection of analytics, analytics engineering, and business strategy.</p>\n<p>You&#39;ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.</p>\n<p>Where you&#39;ll work</p>\n<p>This role will be based in our San Francisco office.</p>\n<p>We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.</p>\n<p>We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.</p>\n<p>As a perk, we also have up to four weeks per year of fully remote work!</p>\n<p>Responsibilities</p>\n<ul>\n<li>Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.</li>\n</ul>\n<ul>\n<li>Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.</li>\n</ul>\n<ul>\n<li>Write production-quality SQL and Python code to extract, transform, and analyze data at scale.</li>\n</ul>\n<ul>\n<li>Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the 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models.</li>\n</ul>\n<ul>\n<li>Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).</li>\n</ul>\n<ul>\n<li>Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).</li>\n</ul>\n<ul>\n<li>Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).</li>\n</ul>\n<ul>\n<li>Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.</li>\n</ul>\n<ul>\n<li>Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.</li>\n</ul>\n<p>Bonus points</p>\n<ul>\n<li>Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).</li>\n</ul>\n<ul>\n<li>Experience with dbt for data modeling and 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You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.</p>\n<p>Key responsibilities include: Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights Develop and implement novel, goal-oriented metrics Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience Communicate findings &amp; recommendations to stakeholders, including executives Champion data-driven culture by feeding user engagement insights back into models Collaborate with the GenAI team on model quality and feature adoption Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work</p>\n<p>We are looking for a bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.</p>\n<p>Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.</p>\n<p>Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.</p>\n<p>Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.</p>\n<p>A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.</p>\n<p>A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.</p>\n<p>You must meet the following minimum qualifications to</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_35195166-432","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GeminiApp","sameAs":"https://www.geminiapp.com/","logo":"https://logos.yubhub.co/geminiapp.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7576202","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$248,000 USD - 349,000 USD + bonus + equity + benefits","x-skills-required":["Data Science","Machine Learning","Statistical Modeling","Experimental Design","SQL","Python","R","Business Acumen","Strategic Mindset","Communication","Presentation"],"x-skills-preferred":["Modern Machine Learning","LLM Techniques","Organization","Prioritization","Data Science Coding","Business Question Articulation","Mathematical Techniques","Analysis Results Translation","Bespoke Analytics"],"datePosted":"2026-04-18T15:50:36.901Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Machine Learning, Statistical Modeling, Experimental Design, SQL, Python, R, Business Acumen, Strategic Mindset, Communication, Presentation, Modern Machine Learning, LLM Techniques, Organization, Prioritization, Data Science Coding, Business Question Articulation, Mathematical Techniques, Analysis Results Translation, Bespoke Analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248000,"maxValue":349000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aafe8576-1ac"},"title":"Quality Director","description":"<p>As the Quality Director, you will serve as the executive amplifier and strategic integrator for the VP of Quality, ensuring that intent becomes action, and action scales across teams. This role drives Product Development excellence, builds world-class Product Quality Engineering capabilities, and establishes a culture of statistical rigor and continuous improvement.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting the VP of Quality in evolving priorities and organizational needs, adapting capacity and focus as required</li>\n<li>Enabling Quality team leaders and division members to maximize efficiency and quality output through coaching and resource alignment</li>\n<li>Building internal delivery rhythms, KPIs, and OKRs that drive team alignment, execution fidelity, and risk management</li>\n<li>Leading cross-team initiatives requiring executive sponsorship and accountability, acting as go-to problem solver for ambiguous challenges</li>\n<li>Partnering with Quality Systems Engineering to deploy and track KPIs through scorecards to inform decisions at QBR, MDPR</li>\n<li>Fostering cross-functional relationships, embedding quality and compliance fluency throughout partner functions</li>\n<li>Providing strategic oversight and ensuring product line governance in accordance with DCMA compliance and federal mandates</li>\n<li>Serving as the connective tissue across the organization,coordinating, communicating, and facilitating</li>\n<li>Owning Product Quality Engineering strategy across all new product development by appropriately leveraging the following functions at the appropriate phase gates: Reliability, System Safety, Supplier Quality, and Quality Systems Engineering</li>\n<li>Owning day-to-day factory quality engineering and sustainment; 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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.</p>\n<p>Joining on the ground floor of this startup team, you&#39;ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities&#39; long-term growth</li>\n<li>Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies</li>\n<li>Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design &amp; execute experiments with great rigor and efficient data techniques</li>\n<li>Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written</li>\n<li>Identify what matters most and prioritise ruthlessly for the area you will own</li>\n<li>Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact</li>\n<li>Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field</li>\n<li>7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company</li>\n<li>Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction</li>\n<li>Proficiency in SQL, Python or other programming/scripting languages</li>\n<li>Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees</li>\n<li>Ability to provide data insights and recommendations for 0→1 product even when sample size is small</li>\n<li>Strong verbal and written communication skills</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience in startups or building 0→1 products</li>\n<li>Expertise in using data to inform AI/ML product development</li>\n<li>Background in SaaS product</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Canada Pay Range $162,400-$219,600 CAD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b3dd271b-fc8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dropbox","sameAs":"https://www.dropbox.com/","logo":"https://logos.yubhub.co/dropbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dropbox/jobs/7729764","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$162,400-$219,600 CAD","x-skills-required":["SQL","Python","Statistical analysis","Experimentation design","Regression","Decision trees"],"x-skills-preferred":["Experience in startups or building 0→1 products","Expertise in using data to inform AI/ML product development","Background in SaaS product"],"datePosted":"2026-04-18T15:50:19.162Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada: Select locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Statistical analysis, Experimentation design, Regression, Decision trees, Experience in startups or building 0→1 products, Expertise in using data to inform AI/ML product development, Background in SaaS product","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":162400,"maxValue":219600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_336080a3-2f9"},"title":"Senior Software Engineer, Network Performance & Reliability","description":"<p>About Us At Cloudflare, we are on a mission to help build a better Internet. 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Almost all products in Cloudflare’s portfolio are or will be powered by Argo technology, including CDN, Spectrum, Magic Transit, Stream, Workers, Workers AI, R2, WARP, and more.</p>\n<p>As a member of the Argo team, you’ll be a key technical contributor to the cutting edge network software infrastructure used by those products. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare&#39;s world-class edge network.</p>\n<p>You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.</p>\n<p>Must-Have Skills</p>\n<ul>\n<li>Systems-level programming experience in Go, Rust, C, or C++</li>\n<li>A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model</li>\n<li>Knowledge of HTTP, TLS, and CDN networks</li>\n<li>Experience in implementing secure and highly-available distributed systems</li>\n<li>Experience with monitoring, alerting, and debugging large-scale distributed systems</li>\n<li>Experience participating in an on-call rotation</li>\n<li>Strong collaboration and communication skills</li>\n<li>Experience/interest in network performance monitoring and tuning</li>\n<li>Willingness to adopt and integrate AI tools and systems into your engineering workflow</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Knowledge of TCP/IP and Internet routing</li>\n<li>Professional systems-level programming experience in Rust</li>\n<li>Working knowledge of statistical-analysis techniques and control theory</li>\n<li>Experience building tools and APIs</li>\n<li>Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting</li>\n</ul>\n<p>Equity This role is eligible to participate in Cloudflare’s equity plan.</p>\n<p>Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave</p>\n<p>More information on the team: https://blog.cloudflare.com/orpheus-saves-internet-requests-while-maintaining-speed/ https://blog.cloudflare.com/orpheus/</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_336080a3-2f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7446340","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Systems-level programming experience in Go, Rust, C, or C++","A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model","Knowledge of HTTP, TLS, and CDN networks","Experience in implementing secure and highly-available distributed systems","Experience with monitoring, alerting, and debugging large-scale distributed systems"],"x-skills-preferred":["Knowledge of TCP/IP and Internet routing","Professional systems-level programming experience in Rust","Working knowledge of statistical-analysis techniques and control theory","Experience building tools and APIs","Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting"],"datePosted":"2026-04-18T15:49:58.486Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Systems-level programming experience in Go, Rust, C, or C++, A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model, Knowledge of HTTP, TLS, and CDN networks, Experience in implementing secure and highly-available distributed systems, Experience with monitoring, alerting, and debugging large-scale distributed systems, Knowledge of TCP/IP and Internet routing, Professional systems-level programming experience in Rust, Working knowledge of statistical-analysis techniques and control theory, Experience building tools and APIs, Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4a6ec69-e81"},"title":"Staff Machine Learning Engineer, Dev Platform Data and Discovery","description":"<p>We&#39;re looking for a highly skilled Staff Machine Learning Engineer to join our Developer Platform team. As a Staff Machine Learning Engineer, you will own projects from ideation to production, working with a cross-functional team to solve hard problems and create engaging interactive experiences for Reddit communities.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.</li>\n<li>Identify opportunities to enhance ranking capabilities by diving deep into our platform and understanding the needs of our customers.</li>\n<li>Design and develop applied machine learning models for modeled personalization, game taxonomy, and more, from ideation to production deployment.</li>\n<li>Collaborate with data scientists, product managers, and backend software engineers.</li>\n<li>Mentor junior team members, share knowledge, and contribute to the technical growth of the team.</li>\n<li>Provide guidance on machine learning best practices and methodologies.</li>\n<li>Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.</li>\n<li>Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit&#39;s unique platform and community.</li>\n</ul>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>7+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment.</li>\n<li>Prior experience with personalized feed ranking.</li>\n<li>Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications.</li>\n<li>Ability to lead and mentor machine learning engineers or data scientists.</li>\n<li>Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.</li>\n<li>Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience of orchestrating complicated data pipelines and system engineering on large-scale datasets.</li>\n<li>Proficiency with programming languages and statistical analysis.</li>\n<li>Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture.</li>\n<li>Experience in Bayesian methodology and experimentation.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs.</li>\n<li>401k with Employer Match.</li>\n<li>Family Planning Support.</li>\n<li>Gender-Affirming Care.</li>\n<li>Mental Health &amp; Coaching Benefits.</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off.</li>\n<li>Generous Paid Parental Leave.</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. 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Habitual reliance on primary sources and base rates.</p>\n<p>Preferred Skills and Experience: Experience in intelligence analysis, investigative journalism, or academic peer review.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1f33d5a1-6ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5017518007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract","x-salary-range":"$40/hour - $70/hour","x-skills-required":["factual accuracy","logical coherence","fallacious reasoning","ideological capture","statistical fallacies","rhetorical sleights of hand","intellectual honesty","source evaluation","nuanced weighing of primary and secondary sources","scoping of confidence","adversarial examples","red-team prompts","epistemic weaknesses","definition and scaling of constitutional principles for truth-seeking behavior"],"x-skills-preferred":["intelligence analysis","investigative journalism","academic peer review"],"datePosted":"2026-04-18T15:48:46.461Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"factual accuracy, logical coherence, fallacious reasoning, ideological capture, statistical fallacies, rhetorical sleights of hand, intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, scoping of confidence, adversarial examples, red-team prompts, epistemic weaknesses, definition and scaling of constitutional principles for truth-seeking behavior, intelligence analysis, investigative journalism, academic peer review"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a15e45c5-395"},"title":"Data Center OFCI Quality Manager","description":"<p>The Data Center OFCI Quality Manager owns end-to-end quality execution across supplier manufacturing, logistics, installation readiness, and operational handoff for mission-critical infrastructure assets.</p>\n<p>This role is accountable for preventing defects, reducing rework, and protecting schedule and cost by embedding quality early and consistently. 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platforms, ERP/MRP systems, Power BI/SQL is a plus)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a15e45c5-395","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4658270006","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$161,000 to $237,000","x-skills-required":["Quality Management","Quality Engineering","Supplier Quality","Infrastructure","Manufacturing","Technology","Engineering","Problem-Solving","Root Cause Analysis","Statistical Process Control","Quality Metrics","Quality Records","Audit Readiness","Continuous Improvement"],"x-skills-preferred":["Advanced Degree","Certifications","Hyperscale Deployment","Global 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Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":161000,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4e6e79bb-e0c"},"title":"Senior Data Scientist","description":"<p>We&#39;re looking for a Senior Data Scientist to play a key role in Medium&#39;s data science practice, delivering rigorous analysis and predictive modeling that inform product and business decisions.</p>\n<p>As a member of Medium’s Machine Learning &amp; Insights team, you’ll partner closely with stakeholders across teams to help deepen our collective understanding of Medium’s members, writers, and business through data.</p>\n<p>You&#39;ll work alongside our Principal Scientist, contributing methodological rigor to strategic initiatives while owning end-to-end research and model development in your domain.</p>\n<p>This is a unique role for someone 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business.</li>\n</ul>\n<ul>\n<li>Run research projects and investigations, small and large, for leadership and cross-functional partners.</li>\n</ul>\n<ul>\n<li>Develop and maintain quantitative models that support forecasting and strategic planning.</li>\n</ul>\n<ul>\n<li>Share knowledge with and mentor engineers and other stakeholders to improve their own analytics capabilities.</li>\n</ul>\n<ul>\n<li>Contribute to the broader data culture and ecosystem at Medium, helping to raise our data fluency as a team.</li>\n</ul>\n<ul>\n<li>Attend Medium’s twice-yearly, in-person offsites (hosted in locations around the U.S.).</li>\n</ul>\n<p><strong>Skills, Knowledge and Expertise</strong></p>\n<ul>\n<li>You know your way around data. You have 4-6 years of experience as an in-house data scientist, with a proven track record of driving business impact through data.</li>\n</ul>\n<ul>\n<li>You&#39;re highly proficient in statistical programming with either Python or R, and you’re comfortable writing SQL for analytical queries. (Python skills are strongly preferred. Our team uses Python extensively, and we’ll be expecting candidates to demonstrate Python scripting skills during the interview process.)</li>\n</ul>\n<ul>\n<li>You have a track record of building, validating, and deploying predictive and statistical models that drove measurable business outcomes.</li>\n</ul>\n<ul>\n<li>You&#39;re a strong collaborator with an established history of cross-team and executive-level partnership.</li>\n</ul>\n<ul>\n<li>You care about quality writing, informed readership, and building a sustainable model for creators. Experience applying modeling techniques to problems unique to social platforms, subscription/membership businesses, or publishing is a plus.</li>\n</ul>\n<ul>\n<li>Experience with ML engineering practices, dbt, or data engineering is a plus! 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You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals to help keep Airbnb&#39;s community safe and trusted.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading and driving data-driven roadmaps for the CS Safety working groups</li>\n<li>Recommending actionable solutions backed by data and metrics to product and operational problems</li>\n<li>Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network</li>\n<li>Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences</li>\n<li>Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development</li>\n<li>Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk</li>\n<li>Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others</li>\n<li>Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)</li>\n<li>Experience supporting safety, risk, Trust &amp; Safety, compliance, or employee wellbeing in high-volume call centre or customer operations environments</li>\n<li>Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)</li>\n<li>Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting</li>\n<li>Working knowledge of schema design and high-dimensional data modelling (ETL framework like Airflow)</li>\n<li>Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment</li>\n<li>Comfortable operating independently with minimal planning, direction, and supervision</li>\n<li>Proven track record of influencing senior leaders and driving outcomes</li>\n</ul>\n<p>Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3ff860ce-94c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7579193","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$176,000-$220,000 USD","x-skills-required":["SQL","Python","R","Machine Learning","Data Analysis","Data Modelling","Causal Inference","Experimentation","Statistical Models"],"x-skills-preferred":["Data Science","Operations Research","Statistics","Econometrics","Computer Science","Engineering","Mathematics"],"datePosted":"2026-04-18T15:47:55.305Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"engineering","industry":"technology","skills":"SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models, Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1051437d-3f6"},"title":"Senior Data Scientist, Consumer","description":"<p>We are seeking a Senior Data Scientist to join our Consumer Data Science team. As a Senior Data Scientist, you will play a significant role in driving the success of key product areas at Reddit, including Consumer, Ads, and Safety. You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations</li>\n<li>Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests</li>\n<li>Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly</li>\n<li>Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact</li>\n<li>Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes</li>\n<li>Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li>\n<li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li>\n<li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li>\n<li>Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)</li>\n<li>Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques</li>\n<li>Comfortable in innovative and fast-paced environments, and a bias toward action</li>\n<li>Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike</li>\n<li>Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $190,800-$267,100 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1051437d-3f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7275414","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-$267,100 USD","x-skills-required":["SQL","R","Python","online experimentation","causal inference","statistical techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:47.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, R, Python, online experimentation, causal inference, statistical techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":267100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3480e0e8-2e9"},"title":"Senior Data Scientist, Ads","description":"<p>We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit&#39;s ad platform</li>\n<li>Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform</li>\n<li>Collaborate with product managers and engineers to define product requirements and translate them into data science solutions</li>\n<li>Develop ML models &amp; DS methods to improve anomaly detection, prediction, &amp; pattern recognition</li>\n<li>Communicate findings and recommendations to stakeholders across the organization</li>\n<li>Stay up-to-date on the latest advancements in machine learning and data science</li>\n<li>Mentor and guide junior data scientists on the team</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li>\n<li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li>\n<li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li>\n<li>Platform experience and a deep understanding of the ads ecosystem</li>\n<li>Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design</li>\n<li>Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus</li>\n<li>Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch</li>\n<li>Experience with SQL and relational databases</li>\n<li>Excellent communication and presentation skills</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Experience with online advertising and ad tech</li>\n<li>Experience with causal inference and A/B testing</li>\n<li>Contributions to open-source projects or publications in relevant conferences or journals</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3480e0e8-2e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/6042236","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-$267,100 USD","x-skills-required":["Python","R","Spark","Hadoop","BigQuery","scikit-learn","TensorFlow","PyTorch","SQL","relational databases","statistical modeling","machine learning algorithms","causal inference","experimental design"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:41.569Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, R, Spark, Hadoop, BigQuery, scikit-learn, TensorFlow, PyTorch, SQL, relational databases, statistical modeling, machine learning algorithms, causal inference, experimental design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":267100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_40a343d1-388"},"title":"Senior Data Scientist, Platform (Algorithms/Trust)","description":"<p>We&#39;re looking for a Senior Data Scientist to join our Content Integrity Data Science team. As a Senior Data Scientist, you will play a key role in building and protecting trust on the Airbnb platform by ensuring that the content on Airbnb, including listings, profiles, messages and other user-generated experiences, is accurate, authentic and aligned with our policies and community standards.</p>\n<p>This role is unique in that it directly improves the safety, trust, and quality of real-world user experiences by advancing Airbnb&#39;s ability to understand, interpret and act on content at scale. You will help shape how the platform reasons about listings, profiles, messages and other user-generated content by building the next generation of Trust Content Understanding Models.</p>\n<p>The ideal candidate is a motivated and talented &#39;full-stack&#39; Data Scientist with strong applied ML intuition and a bias toward impact, who can own and drive forward challenging, high-visibility initiatives such as:</p>\n<ul>\n<li>Advance Airbnb&#39;s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications</li>\n</ul>\n<ul>\n<li>Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement</li>\n</ul>\n<ul>\n<li>Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement</li>\n</ul>\n<ul>\n<li>Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches</li>\n</ul>\n<ul>\n<li>Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Artificial Intelligence / Machine Learning: Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.</li>\n</ul>\n<ul>\n<li>Inference: Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.</li>\n</ul>\n<ul>\n<li>Optimization: Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness.</li>\n</ul>\n<ul>\n<li>Communication &amp; Collaboration: Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations</li>\n</ul>\n<ul>\n<li>Empowerment: Think strategically about how to scale and evolve Airbnb&#39;s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.</li>\n</ul>\n<ul>\n<li>State-of-the-art knowledge of AI/ML models</li>\n</ul>\n<ul>\n<li>Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications.</li>\n</ul>\n<ul>\n<li>Working knowledge of causal inference</li>\n</ul>\n<ul>\n<li>Skilled in statistical programming (Python or R) and database usage (SQL)</li>\n</ul>\n<ul>\n<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels</li>\n</ul>\n<ul>\n<li>Ability to translate complex findings and results into compelling narratives that drive impact</li>\n</ul>\n<ul>\n<li>Excellent project management, communication, and collaboration skills</li>\n</ul>\n<ul>\n<li>Trust &amp; Safety experience is a plus</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $177,000-$208,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_40a343d1-388","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7594971","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000-$208,000 USD","x-skills-required":["Natural Language Processing (NLP)","LLM-based models","text classification","semantic similarity","information extraction","generative model-based reasoning","policy interpretation and enforcement","human-in-the-loop Machine Learning (ML)","content review","labeling","escalation","continuous model improvement","statistical","representation-learning approaches","intelligent sampling","evaluation strategies","rare events","policy recall","false positives/negatives","model blind spots","large-scale content systems","Python","R","SQL","causal inference","statistical programming","database usage"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:24.814Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Natural Language Processing (NLP), LLM-based models, text classification, semantic similarity, information extraction, generative model-based reasoning, policy interpretation and enforcement, human-in-the-loop Machine Learning (ML), content review, labeling, escalation, continuous model improvement, statistical, representation-learning approaches, intelligent sampling, evaluation strategies, rare events, policy recall, false positives/negatives, model blind spots, large-scale content systems, Python, R, SQL, causal inference, statistical programming, database usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":208000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_779cd718-611"},"title":"Principal Data Scientist, Ads","description":"<p>We&#39;re seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform.</p>\n<p>In this pivotal leadership role, you will define and implement the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning, and other quantitative methods to optimize Reddit&#39;s Ads marketplace.</p>\n<p>As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining the future of Ads Data Science and owning the design and long-term evolution of our core Ads Data Science solutions and infrastructure</li>\n<li>Identifying fundamental gaps and opportunities in our current systems and leading the strategic design and scientific roadmap for new solutions</li>\n<li>Taking end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks</li>\n<li>Establishing scientific standards and defining best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative &amp; format evaluation, measurement &amp; experimentation at scale</li>\n<li>Master&#39;s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline</li>\n<li>Advanced proficiency in statistical programming (Python or R) and SQL</li>\n<li>Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques</li>\n<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>\n</ul>\n<p>Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</p>\n<p>The base salary range for this position is $268,000-$365,100 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_779cd718-611","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7330347","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$268,000-$365,100 USD","x-skills-required":["ads marketplace understanding","auctioning/bidding","ads creative & format evaluation","measurement & experimentation at scale","statistical programming (Python or R)","SQL","statistical analysis","economic modeling","foundational machine learning","optimization techniques","experimental design","causal inference","A/B testing methodologies"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:02.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale, statistical programming (Python or R), SQL, statistical analysis, economic modeling, foundational machine learning, optimization techniques, experimental design, causal inference, A/B testing methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":268000,"maxValue":365100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9692c327-3c8"},"title":"Lead, Advertising Measurement - UK","description":"<p>We&#39;re looking for an Ads Measurement Lead in London to help our advertising partners succeed on our platform. This role will be an integral part of the Marketing Sciences team, driving our value proposition to agencies and brands by demonstrating the power and performance of Reddit as a media platform.</p>\n<p>As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.</li>\n</ul>\n<ul>\n<li>Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Client Account Managers to gain a deep understanding of clients&#39; campaign setups, measurement stack and performance goals, as well as collaborate closely with Product &amp; PMM.</li>\n</ul>\n<ul>\n<li>Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.</li>\n</ul>\n<ul>\n<li>Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.</li>\n</ul>\n<ul>\n<li>Leverage measurement results to drive sales impact - developing benchmarks, case studies, media &amp; 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Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a317d234-6b0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7607124","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistical modeling","machine learning algorithms","causal inference","experimental design","large-scale data processing","Spark","Hadoop","BigQuery","Python","R","scikit-learn","TensorFlow","PyTorch","SQL","relational databases"],"x-skills-preferred":["online advertising","ad tech","A/B testing","open-source projects","publications"],"datePosted":"2026-04-18T15:45:22.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - British Columbia, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistical modeling, machine learning algorithms, causal inference, experimental design, large-scale data processing, Spark, Hadoop, BigQuery, Python, R, scikit-learn, TensorFlow, PyTorch, SQL, relational databases, online advertising, ad tech, A/B testing, open-source projects, publications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bc4a1959-a13"},"title":"Senior Applied AI Engineer","description":"<p>As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimisation algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products.</p>\n<p>From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks&#39; 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As a key member of the team, you will be responsible for developing and executing a vision to improve our Ads Marketplace at Reddit. You will develop a deep understanding of our marketplace dynamics and identify areas of improvement by getting to the bottom of data, design, implement and ship algorithms to production that improve our ads marketplace efficiency.</p>\n<p>In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.</p>\n<p>As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.</li>\n<li>Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.</li>\n<li>Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.</li>\n<li>Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. 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By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p>\n<p>Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p>\n<p>Data at Brex</p>\n<p>The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. 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As a Senior Analyst, you will work with Payment Analytics and be responsible for developing robust insights, creating data narratives, and leveraging Airbnb&#39;s rich data to define metrics. 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We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. 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The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. 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We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.\\n\\nOur dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.\\n\\nAs we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding.\\n\\nJoin the team as Twilio’s next Sr. Analyst, Strategic Measurement.\\n\\nAbout the job\\n\\nWe are actively recruiting for this role to fill an existing vacancy. This position is needed to serve as the &quot;New Frontiers&quot; lead for the Marketing Strategy, Analytics &amp; Innovation team, focusing on ambiguous, highly strategic emerging channels, potential programs &amp; measurement optimization/instrumentation.\\n\\nYou will be responsible for defining, measuring, and accelerating our growth in new digital landscapes, specifically focusing on AI Engine Optimization (AEO), brand measurement and advanced attribution frameworks.\\n\\nPartnering closely with the global marketing analytics teams, Brand, Demand Gen, PR, Content, and Developer Network teams, you will execute against high-visibility objectives enabling marketing&#39;s business impact to executive leadership.\\n\\nIdeally, this position has a strong statistical background, a substantial capacity for hypothesis-driven thinking, and the ability to deliver &quot;unmistakable clarity&quot; in complex executive presentations.\\n\\nResponsibilities\\n\\nIn this role, you’ll:\\n\\nAnalyse LLM visibility and Share of Voice, create a continuous feedback loop across various teams to optimise Twilio&#39;s presence in AI search/AEO (answer engine optimisation), drive enablement and operational efforts to ensure consistent tool usage and storyline.\\n\\nSupport the strategy, data ingestion, and modelling required to build and maintain net new and existing brand measurement components. Drive a single, cohesive narrative combining disparate data sets.\\n\\nInspire experimentation adoption in teams. Build the frameworks and structure to drive experimentation rigor and clarity of incrementally of marketing initiatives.\\n\\nSupport Media Mix Modelling (MMM) and Multi-Touch Attribution (MTA) initiatives to understand the impact of various marketing channels on Sign Ups, SQLs, activations, and guide budget allocation.\\n\\nTranslate complex data sets into actionable insights and strategic recommendations for exec-level audiences.\\n\\nOwn enablement efforts for emerging channels, sharing accomplishments, KPIs, and cross-team collaborations broadly across the marketing organisation.\\n\\nQualifications\\n\\nTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.\\n\\nIf your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio.\\n\\nWe are always looking for people who will bring something new to the table!\\n\\n* Required:\\n\\n5+ years of experience in statistical analysis, experimentation and/or scenario planning.\\n\\nA strong understanding of SEO and emerging AI Search (AEO/GEO) landscapes.\\n\\nA hypothesis-driven thinker who does not just report the “what,” but actively tests the “why”. Able to formulate testable guesses and distill the essential from complex marketing data.\\n\\nExperience with running or interpreting advanced measurement frameworks (Incrementality, MMM, MTA).\\n\\nHighly reliable and a self-starter.\\n\\nInterest or experience in applying AI-driven solutions to analytics workflows.\\n\\nStrong communication skills with the ability to communicate effectively with both technical and non-technical audiences\\n\\nDetail-oriented with a passion for clean, trustworthy data.\\n\\nStrong analytical skills.\\n\\nExcellent collaborator across cross-functional teams; skilled in managing stakeholder projects end-to-end.\\n\\nDesired:\\n\\nExperience supporting various stakeholder functions and their insights: Brand, PR, Social, Content, Demand Generation\\n\\nExperience with BI tools (Tableau, Looker Studio) and modelling (ROI, LTV:CAC, payback).\\n\\nInterest or exposure to fraud monitoring tools and processes.\\n\\nWorking knowledge of Customer Data Platforms (CDPs) and analytics data integrations.\\n\\nLocation\\n\\nThis role will be remote, and based in Alberta, British Columbia, or Ontario, Canada.\\n\\nTravel\\n\\nWe prioritise connection and opportunities to build relationships with our customers and each other.\\n\\nFor this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.\\n\\nWhat We Offer\\n\\nWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings programme, and much more.\\n\\nOfferings vary by location.\\n\\nBased on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programmes, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.\\n\\nThe estimated pay ranges for this role are as follows:\\n\\n$90,800 - $113,500 CAD\\n\\nTarget Bonus Percentage 12.50%\\n\\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.\\n\\nTwilio thinks big. Do you?\\n\\nWe like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.\\n\\nThat&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic.\\n\\nAdditionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.\\n\\nSo, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!\\n\\nIf this role isn’t what you’re looking for, please consider other open positions.\\n\\nTwilio is proud to be an equal opportunity employer.\\n\\nWe do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.\\n\\nWe also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.\\n\\nQualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\\n\\nAdditionally, Twilio participates in the E-Verify programme in certain locations, as required by law.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_32a63583-c9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7736722","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$90,800 - $113,500 CAD","x-skills-required":["statistical analysis","experimentation","scenario planning","SEO","AI Search (AEO/GEO) landscapes","hypothesis-driven thinking","advanced measurement frameworks","Incrementality","Media Mix Modelling (MMM)","Multi-Touch Attribution (MTA)","communication skills","data analysis","clean, trustworthy data","analytical skills","collaboration","project management"],"x-skills-preferred":["BI tools (Tableau, Looker Studio)","modelling (ROI, LTV:CAC, payback)","fraud monitoring tools and processes","Customer Data Platforms (CDPs)","analytics data integrations"],"datePosted":"2026-04-18T15:41:42.004Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"statistical analysis, experimentation, scenario planning, SEO, AI Search (AEO/GEO) landscapes, hypothesis-driven thinking, advanced measurement frameworks, Incrementality, Media Mix Modelling (MMM), Multi-Touch Attribution (MTA), communication skills, data analysis, clean, trustworthy data, analytical skills, collaboration, project management, BI tools (Tableau, Looker Studio), modelling (ROI, LTV:CAC, payback), fraud monitoring tools and processes, Customer Data Platforms (CDPs), analytics data integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90800,"maxValue":113500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_970e6d0b-743"},"title":"Senior Staff Data Scientist, GeminiApp x-Product","description":"<p><strong>About the Role</strong></p>\n<p>As a Data Scientist lead on the GeminiApp team, you will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with PM, engineering, and UX leadership to develop data-driven product strategies across various areas of GeminiApp</li>\n</ul>\n<ul>\n<li>Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights</li>\n</ul>\n<ul>\n<li>Develop and implement novel, goal-oriented metrics</li>\n</ul>\n<ul>\n<li>Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience</li>\n</ul>\n<ul>\n<li>Communicate findings &amp; recommendations to stakeholders, including executives</li>\n</ul>\n<ul>\n<li>Champion data-driven culture by feeding user engagement insights back into models</li>\n</ul>\n<ul>\n<li>Collaborate with the GenAI team on model quality and feature adoption</li>\n</ul>\n<ul>\n<li>Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>A bias for action and a relentless drive to build something great</li>\n</ul>\n<ul>\n<li>Strong business acumen and a strategic mindset</li>\n</ul>\n<ul>\n<li>Deep technical expertise</li>\n</ul>\n<ul>\n<li>Exceptional communication and presentation skills</li>\n</ul>\n<ul>\n<li>A collaborative and influential partner</li>\n</ul>\n<ul>\n<li>A commitment to user trust and privacy</li>\n</ul>\n<p><strong>Why You&#39;ll Love Working Here</strong></p>\n<ul>\n<li>Impact: You&#39;ll have a direct and meaningful impact on a product designed to empower billions of people</li>\n</ul>\n<ul>\n<li>Growth: We&#39;re a fast-growing team within Google, and you&#39;ll have the opportunity to evolve quickly to meet changing user needs</li>\n</ul>\n<ul>\n<li>Team &amp; 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Experience with reliability engineering, SLA development, and failure-mode analysis is also essential.</p>\n<p>Additionally, proficiency in statistical modeling and simulation for infrastructure capacity or power utilization, familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems, and exposure to accelerator deployments and their power management interfaces are highly desirable.</p>\n<p>This is a challenging and rewarding role that requires a unique blend of technical expertise, business acumen, and collaboration skills. If you&#39;re passionate about data center infrastructure, AI, and sustainability, we encourage you to apply.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e53014e6-57c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5159642008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["data center power distribution and cooling architectures","_SYSTEMS","reliability engineering","SLA development","failure-mode analysis","statistical modeling and simulation","SCADA/BMS/EPMS","telemetry pipelines","control systems","accelerator deployments","power management interfaces"],"x-skills-preferred":["Python","similar languages","control theory","dynamical systems","cyber-physical systems design","energy storage","microgrid integration","demand response","behind-the-meter generation"],"datePosted":"2026-04-18T15:37:06.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data center power distribution and cooling architectures, _SYSTEMS, reliability engineering, SLA development, failure-mode analysis, statistical modeling and simulation, SCADA/BMS/EPMS, telemetry pipelines, control systems, accelerator deployments, power management interfaces, Python, similar languages, control theory, dynamical systems, cyber-physical systems design, energy storage, microgrid integration, demand response, behind-the-meter generation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d04b0aff-768"},"title":"Senior Engineer, Radar Modeling & Simulation","description":"<p>The Software Integration &amp; Operations group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline,deterministic aircraft and mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly,safely, repeatably, and fast.</p>\n<p>As a Modeling &amp; Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.</li>\n<li>Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.</li>\n<li>Validate models against real-world data and authoritative references, including field test data and calibration procedures.</li>\n<li>Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.</li>\n<li>Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.</li>\n<li>Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.</li>\n<li>Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.</li>\n<li>C++ foundation with experience implementing numerical methods.</li>\n<li>Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems</li>\n<li>Experience validating simulations against real-world or experimental data.</li>\n<li>Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.</li>\n</ul>\n<p><strong>Preferences</strong></p>\n<ul>\n<li>1+ years of experience working on pilot/operator training systems.</li>\n<li>Experience with Eigen or SciPy for model prototyping and validation.</li>\n<li>Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.</li>\n<li>Demonstrated experience with payload sensor models including: Laser sensors, IR and optical cameras</li>\n<li>Knowledge of uncertainty quantification and statistical analysis methods.</li>\n<li>Experience with parallelization or GPU acceleration for compute-heavy models.</li>\n<li>Strong problem-solving mindset with a collaborative and detail-oriented approach.</li>\n<li>Familiarity with Python for test automation and data analysis pipelines.</li>\n<li>Passion for aerospace and autonomous vehicle systems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d04b0aff-768","directApply":true,"hiringOrganization":{"@type":"Organization","name":"X-BAT Division – X-BAT Engineering - Software","sameAs":"http://bit.ly/shieldai_lever_homepage","logo":"https://logos.yubhub.co/bit.ly.png"},"x-apply-url":"https://jobs.lever.co/shieldai/5118a08f-4ae8-431f-a06f-6dba3eaff113","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$105,000 - $200,000 a year","x-skills-required":["C++","Numerical methods","Aerospace models","Radar sensors","Radio communications systems"],"x-skills-preferred":["Eigen","SciPy","State estimation sensor models","Laser sensors","IR and optical cameras","Uncertainty quantification","Statistical analysis methods","Parallelization","GPU acceleration","Python","Test automation","Data analysis pipelines"],"datePosted":"2026-04-17T13:05:08.450Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"C++, Numerical methods, Aerospace models, Radar sensors, Radio communications systems, Eigen, SciPy, State estimation sensor models, Laser sensors, IR and optical cameras, Uncertainty quantification, Statistical analysis methods, Parallelization, GPU acceleration, Python, Test automation, Data analysis pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2bf2ef11-7d6"},"title":"Senior Backend Engineer, Data Modeling and Ingestion Platform","description":"<p>We are looking for a Senior Backend Engineer to lead the unification of large, highly rich, and heterogeneous datasets sourced from a wide range of external providers. These datasets are used to power our generative audio models.</p>\n<p>Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centres on high-impact bulk ingestion and advanced data linkage. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company.</p>\n<p>You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords, and,where beneficial,distributed systems frameworks like Ray. Familiarity with ML workflows using JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build high-throughput bulk ingestion workflows to integrate datasets from multiple external providers.</li>\n<li>Design and implement scalable entity-resolution solutions, including record linking, deduplication, clustering, and conflict arbitration.</li>\n<li>Create and refine matching logic, decision rules, and similarity functions to align datasets with high accuracy and strong coverage.</li>\n<li>Define and track data quality indicators, such as overlap metrics, match precision/recall, duplicate rates, and completeness.</li>\n<li>Prepare training-ready datasets in formats such as TFRecords, and structure data to meet ML research requirements.</li>\n<li>Develop processing components using Dataflow (Beam) and manage large analytical workloads in BigQuery.</li>\n<li>Leverage frameworks like Ray to accelerate large-scale experiments, feature extraction, and research-oriented data preparation.</li>\n<li>Collaborate with ML researchers to anticipate downstream requirements and evolve linkage strategies as new sources and use cases emerge.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience working with large, heterogeneous datasets from multiple providers or domains.</li>\n<li>Strong background in entity resolution, deduplication, data unification, or related large-scale data integration techniques.</li>\n<li>Proficiency in Python, with an emphasis on efficient, scalable data processing.</li>\n<li>Experience with BigQuery, Google Dataflow/Apache Beam, or similar batch-processing frameworks.</li>\n<li>Familiarity with data validation, normalization, reconciliation, and building consistent views across diverse data sources.</li>\n<li>Ability to craft well-structured matching and decision strategies that balance accuracy, completeness, and computational efficiency.</li>\n<li>Comfortable iterating quickly on pragmatic solutions, balancing correctness with time-to-delivery.</li>\n<li>Clear communication skills and the ability to collaborate closely with ML and research teams.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Knowledge of architecting Google Cloud Platform systems at scale.</li>\n<li>Experience with distributed compute frameworks such as Ray, Spark, or Flink.</li>\n<li>Understanding of JAX-based ML pipelines, multihost training setups, or large-scale data preparation for accelerator-backed workflows.</li>\n<li>Familiarity with TFRecords or other high-volume training data formats.</li>\n<li>Exposure to ranking, clustering, or statistical similarity modeling.</li>\n<li>Experience with Go, NextJS, and/or React Native to contribute to full-stack development.</li>\n</ul>\n<p>Why Join Us:</p>\n<ul>\n<li>You will design the core dataset that underpins our research, product development, and generative audio models.</li>\n<li>You&#39;ll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence.</li>\n<li>You&#39;ll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Highly competitive salary and equity.</li>\n<li>Quarterly productivity budget.</li>\n<li>Flexible time off.</li>\n<li>Fantastic office location in Manhattan.</li>\n<li>Productivity package, including ChatGPT Plus, Claude Code, and Copilot.</li>\n<li>Top-notch private health, dental, and vision insurance for you and your dependents.</li>\n<li>401(k) plan options with employer matching.</li>\n<li>Concierge medical/primary care through One Medical and Rightway.</li>\n<li>Mental health support from Spring Health.</li>\n<li>Personalized life insurance, travel assistance, and many other perks.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2bf2ef11-7d6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Udio","sameAs":"https://udio.com","logo":"https://logos.yubhub.co/udio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/udio/jobs/4988140008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - 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Our goal is simple: make AI fly,safely, repeatably, and fast.</p>\n<p>As a Modeling &amp; Simulation Engineer, you will be responsible for improving and adding to our world and aeronautical models so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and enhance aeronautical physics models (aerodynamics, propulsion, environmental, structural, etc.) for use in simulation and evaluation.</li>\n<li>Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.</li>\n<li>Validate models against real-world data and authoritative references, including field test data and calibration procedures.</li>\n<li>Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.</li>\n<li>Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.</li>\n<li>Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.</li>\n<li>Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8c44b3ba-384","directApply":true,"hiringOrganization":{"@type":"Organization","name":"X-BAT Division – X-BAT Engineering - Software","sameAs":"http://bit.ly/shieldai_lever_homepage","logo":"https://logos.yubhub.co/bit.ly.png"},"x-apply-url":"https://jobs.lever.co/shieldai/899822bb-7c18-45c5-ac34-7b84cc689f9e","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$105,000 - $155,000 a year","x-skills-required":["C++","Aerodynamics","Atmosphere/environment","Vehicle dynamics"],"x-skills-preferred":["Eigen","SciPy","State estimation sensor models","Multi-body dynamics","Flight mechanics","Uncertainty quantification","Statistical analysis methods","Python"],"datePosted":"2026-04-17T13:02:23.764Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Aerodynamics, Atmosphere/environment, Vehicle dynamics, Eigen, SciPy, State estimation sensor models, Multi-body dynamics, Flight mechanics, Uncertainty quantification, Statistical analysis methods, Python","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":155000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1df707ea-217"},"title":"Staff Engineer, Quality","description":"<p>At Shield AI, we&#39;re building advanced autonomous aircraft that redefine what&#39;s possible. We&#39;re seeking a Staff Quality Engineer to lead quality initiatives across the product lifecycle, ensuring our products meet the highest standards of performance, reliability, and safety.</p>\n<p>In this role, you&#39;ll develop and maintain robust quality systems aligned with AS9100 standards, lead root cause investigations, and implement effective corrective and preventive actions. You&#39;ll partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality.</p>\n<p>As a Staff Quality Engineer, you&#39;ll play a key role in shaping quality strategy, mentoring team members, and influencing cross-functional decisions without direct authority. This is an opportunity to work hands-on with next-generation aerospace technology and contribute directly to the delivery of highly reliable autonomous systems that will define the future of aviation.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and maintain robust quality systems in alignment with AS9100 standards</li>\n<li>Lead root cause investigations and implement effective corrective and preventive actions</li>\n<li>Partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality</li>\n<li>Support new product introduction (NPI) efforts, establish control plans and inspection strategies, and use data-driven methods to monitor and improve manufacturing performance</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Engineering or a related technical field (or equivalent practical experience)</li>\n<li>5+ years of experience in Quality, Manufacturing, or Process Engineering roles</li>\n<li>Demonstrated experience leading root cause analysis and implementing effective corrective and preventive actions (RCA/CAPA)</li>\n<li>Strong knowledge of quality systems and standards (AS9100 or similar)</li>\n<li>Experience supporting new product introduction (NPI) and scaling production in a manufacturing environment</li>\n<li>Proficiency in statistical analysis and process control methods (SPC, capability analysis, etc.)</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience in aerospace, defense, or other high-reliability industries</li>\n<li>ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent</li>\n<li>Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews</li>\n<li>Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools</li>\n<li>Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1df707ea-217","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/664414ae-6aa0-4dc1-8e24-e89e7466428b","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$120,000 - $180,000 a year","x-skills-required":["Quality systems and standards (AS9100 or similar)","Root cause analysis and corrective and preventive actions (RCA/CAPA)","Statistical analysis and process control methods (SPC, capability analysis, etc.)","New product introduction (NPI) and scaling production in a manufacturing environment","Data-driven methods to monitor and improve manufacturing performance"],"x-skills-preferred":["Experience in aerospace, defense, or other high-reliability industries","ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent","Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews","Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools","Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)"],"datePosted":"2026-04-17T13:00:59.572Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Aerospace","skills":"Quality systems and standards (AS9100 or similar), Root cause analysis and corrective and preventive actions (RCA/CAPA), Statistical analysis and process control methods (SPC, capability analysis, etc.), New product introduction (NPI) and scaling production in a manufacturing environment, Data-driven methods to monitor and improve manufacturing performance, Experience in aerospace, defense, or other high-reliability industries, ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent, Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews, Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools, Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":120000,"maxValue":180000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_001f436c-02b"},"title":"Supplier Development Engineer","description":"<p>Job Overview</p>\n<p>A technical role within the supply chain, reporting to the Supplier Development Manager, focused on improving supplier performance. The Supplier Development Engineer will support continuous improvement initiatives, fostering strong supplier relationships, and ensuring that quality and output requirements are embedded throughout the supply chain.</p>\n<p>Responsibilities</p>\n<p>Collaborate with suppliers on process improvements and technical assessments. Partner with suppliers to improve their quality systems, processes, and capabilities. Provide technical support and guidance to suppliers on quality-related issues, promoting continuous improvement and ensuring alignment with company standards.</p>\n<p>Develop and validate manufacturing blueprints and process flows for new products.</p>\n<p>Drive continuous improvement efforts within the supply chain to ensure product quality. Participate in and drive continuous improvement projects aimed at enhancing supplier quality, reducing defects, and improving overall supply chain performance. Utilize tools such as Six Sigma, Lean, and Kaizen to identify and eliminate inefficiencies.</p>\n<p>Use statistical tools and industry-standard methodologies like DOE (Design of Experiments) and FMEA (Failure Mode and Effects Analysis).</p>\n<p>Qualifications</p>\n<p>Bachelor’s degree in Engineering, Manufacturing, Quality, or a related field (or equivalent work experience).</p>\n<p>3+ years of experience in quality engineering, supplier quality, or related roles, ideally in a manufacturing or production environment.</p>\n<p>Strong knowledge of quality standards and methodologies (ISO 9001, ISO/TS 16949, APQP, PPAP, FMEA, Control Plans, etc.).</p>\n<p>Experience conducting supplier audits, inspections, and quality assessments.</p>\n<p>Proficiency in root cause analysis and problem-solving techniques (e.g., 8D, 5 Whys, Fishbone Diagram, etc.).</p>\n<p>Familiarity with quality management systems (QMS) and continuous improvement methodologies (Six Sigma, Lean).</p>\n<p>Excellent communication, negotiation, and interpersonal skills, with the ability to collaborate effectively with suppliers and internal teams.</p>\n<p>Strong analytical skills and attention to detail.</p>\n<p>Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) and familiarity with quality management software or ERP systems (SAP, Oracle, etc.).</p>\n<p>Ability to travel to supplier sites as needed.</p>\n<p>Certification in quality or supplier management (e.g., CQE, Six Sigma Green/Black Belt, or similar).</p>\n<p>Experience in a global supply chain or working with international suppliers.</p>\n<p>Knowledge of advanced product quality planning (APQP) and product lifecycle management (PLM).</p>\n<p>Experience in a regulated industry (automotive, defense, aerospace, medical devices, etc.).</p>\n<p>Benefits</p>\n<p>Medical Insurance: Comprehensive health insurance plans covering a range of services</p>\n<p>Saronic pays 100% of the premium for employees and 80% for dependents</p>\n<p>Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care</p>\n<p>Saronic pays 99% of the premium for employees and 80% for dependents</p>\n<p>Time Off: Generous PTO and Holidays</p>\n<p>Parental Leave: Paid maternity and paternity leave to support new parents</p>\n<p>Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses</p>\n<p>Retirement Plan: 401(k) plan</p>\n<p>Stock Options: Equity options to give employees a stake in the company’s success</p>\n<p>Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage</p>\n<p>Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</p>\n<p>Physical Demands</p>\n<p>Prolonged periods of sitting at a desk and working on a computer.</p>\n<p>Occasional standing and walking within the office.</p>\n<p>Manual dexterity to operate a computer keyboard, mouse, and other office equipment.</p>\n<p>Visual acuity to read screens, documents, and reports.</p>\n<p>Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.</p>\n<p>Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).</p>\n<p>Additional Information</p>\n<p>This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_001f436c-02b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/77c8362a-7946-4641-a75c-8a0bfc86ae27","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Quality Standards and Methodologies","Supplier Quality","Root Cause Analysis","Problem-Solving Techniques","Quality Management Systems","Continuous Improvement Methodologies","Microsoft Office Suite","Quality Management Software or ERP Systems","Statistical Tools","Industry-Standard Methodologies"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:58:59.935Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Quality Standards and Methodologies, Supplier Quality, Root Cause Analysis, Problem-Solving Techniques, Quality Management Systems, Continuous Improvement Methodologies, Microsoft Office Suite, Quality Management Software or ERP Systems, Statistical Tools, Industry-Standard Methodologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a5b6f635-d2d"},"title":"Supplier Quality Engineer - Composites","description":"<p>Job Overview</p>\n<p>The Supplier Quality Engineer (Composites) is responsible for ensuring that composite hulls, structures, and components produced by suppliers meet Saronic’s quality, performance, and durability requirements. This role focuses on open-mold and closed-mold (e.g., hand layup, spray-up, vacuum infusion) composite manufacturing processes used in marine environments.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Problem Solving &amp; Root Cause Analysis and Corrective Actions</li>\n</ul>\n<p>Investigate supplier nonconformance&#39;s such as voids, delamination, resin-rich/lean areas, cosmetic defects, or dimensional deviations. Lead structured problem-solving using methods such as 8D, 5 Whys, Fishbone Diagrams, and FMEA to identify root causes and drive effective corrective and preventive actions. Verify corrective action effectiveness through follow-up inspections and process audits.</p>\n<ul>\n<li>Technical Quality Control</li>\n</ul>\n<p>Validate and monitor supplier processes for composite part fabrication, including:</p>\n<p>Mold preparation, release application, and surface integrity</p>\n<p>Gelcoat and laminate layup consistency (resin-to-fiber ratios, air entrapment control)</p>\n<p>Curing, demolding, trimming, and finishing</p>\n<p>Bonding and secondary assembly operations</p>\n<p>Dimensional and visual inspections (surface finish, thickness, weight verification) Implement and monitor key process metrics using statistical process control (SPC) or capability studies. Ensure supplier adherence to Saronic workmanship and composite quality standards.</p>\n<ul>\n<li>Supplier Quality Assurance (Audits &amp; Assessments)</li>\n</ul>\n<p>Plan and conduct supplier quality audits and process assessments for composite manufacturing operations. Evaluate compliance with relevant quality management standards (e.g., ISO 9001, AS9100) and marine composite best practices. Track supplier performance via scorecards (defect rates, on-time delivery, rework trends) and partner with suppliers to close quality gaps. Drive continuous improvement initiatives and verify corrective action completion.</p>\n<ul>\n<li>Quality Documentation and Reporting</li>\n</ul>\n<p>Maintain detailed records of supplier audits, inspection results, corrective actions, and quality trends. Develop and deliver regular reports on supplier quality metrics and improvement status to management and cross-functional teams.</p>\n<ul>\n<li>Cross-Functional Collaboration</li>\n</ul>\n<p>Work closely with engineering, procurement, and production teams to ensure material specifications, design requirements, and supplier capabilities are aligned. Provide technical guidance on composite layup strategies, bonding processes, and finishing methods. Support design for manufacturability (DFM) and quality (DFQ) reviews. Train internal and supplier personnel on composite quality standards, inspection techniques, and defect prevention.</p>\n<ul>\n<li>Continuous Improvement Initiatives</li>\n</ul>\n<p>Lead or support Lean, Six Sigma, and Kaizen projects targeting improved composite process repeatability, reduced scrap, and enhanced material utilization. Collaborate with suppliers to implement standard work, visual controls, and other improved processes.</p>\n<ul>\n<li>Risk Management and Compliance</li>\n</ul>\n<p>Identify potential risks in supplier quality or process capability and develop mitigation strategies. Ensure supplier adherence to Saronic’s material qualification, traceability, and documentation standards. Support compliance with applicable defense and marine quality requirements.</p>\n<ul>\n<li>New Supplier Qualification</li>\n</ul>\n<p>Participate in the evaluation and qualification of new composite suppliers. Review manufacturing readiness, process control, material handling, and quality management systems. Conduct audits and first article inspections to ensure new suppliers meet Saronic’s standards for consistency, repeatability, and documentation.</p>\n<p>Qualifications</p>\n<ul>\n<li><p>Bachelor’s degree in Engineering, Materials Science, Manufacturing, or related field (or equivalent experience).</p>\n</li>\n<li><p>3+ years of experience in supplier quality, composites manufacturing, or marine production.</p>\n</li>\n<li><p>Strong understanding of open-mold composite manufacturing methods (hand layup, spray-up, vacuum infusion).</p>\n</li>\n<li><p>Familiarity with marine composite materials such as fiberglass, carbon fiber, core materials, resins, and gelcoats.</p>\n</li>\n<li><p>Knowledge of quality management systems and methodologies (ISO 9001, AS9100, APQP, PPAP, FMEA, Control Plans).</p>\n</li>\n<li><p>Demonstrated experience with supplier audits, process validation, and root cause analysis (8D, 5 Whys, Fishbone).</p>\n</li>\n<li><p>Proficiency in SPC, inspection techniques, and data-driven quality metrics.</p>\n</li>\n<li><p>Excellent communication, problem-solving, and interpersonal skills for supplier and cross-functional engagement.</p>\n</li>\n<li><p>Proficiency with Microsoft Office Suite and familiarity with ERP or QMS software (SAP, Oracle, etc.).</p>\n</li>\n<li><p>Ability to travel to supplier sites as needed.</p>\n</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li><p>Experience with advanced composite manufacturing methods (e.g., prepreg layup, autoclave, oven-cure, resin transfer molding).</p>\n</li>\n<li><p>Certification in Quality or Supplier Management (CQE, Six Sigma Green/Black Belt, or similar).</p>\n</li>\n<li><p>Experience in a regulated or defense-related industry (aerospace, marine, defense).</p>\n</li>\n<li><p>Working knowledge of NADCAP, ASTM standards, or MIL-STD composite quality requirements.</p>\n</li>\n</ul>\n<p>Physical Demands</p>\n<ul>\n<li><p>Prolonged periods of sitting at a desk and working on a computer.</p>\n</li>\n<li><p>Occasional standing and walking within the office.</p>\n</li>\n<li><p>Manual dexterity to operate a computer keyboard, mouse, and other office equipment.</p>\n</li>\n<li><p>Visual acuity to read screens, documents, and reports.</p>\n</li>\n<li><p>Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.</p>\n</li>\n<li><p>Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).</p>\n</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li><p>Medical Insurance: Comprehensive health insurance plans covering a range of services</p>\n</li>\n<li><p>Saronic pays 100% of the premium for employees and 80% for dependents</p>\n</li>\n<li><p>Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care</p>\n</li>\n<li><p>Saronic pays 99% of the premium for employees and 80% for dependents</p>\n</li>\n<li><p>Time Off: Generous PTO and Holidays</p>\n</li>\n<li><p>Parental Leave: Paid maternity and paternity leave to support new parents</p>\n</li>\n<li><p>Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses</p>\n</li>\n<li><p>Retirement Plan: 401(k) plan</p>\n</li>\n<li><p>Stock Options: Equity options to give employees a stake in the company’s success</p>\n</li>\n<li><p>Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage</p>\n</li>\n<li><p>Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office</p>\n</li>\n</ul>\n<p>Additional Information</p>\n<p>This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a5b6f635-d2d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/8eae73f2-45e8-494b-af85-13a815095bb8","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["composite manufacturing","quality management","supplier quality","root cause analysis","statistical process control","data-driven quality metrics","Microsoft Office Suite","ERP or QMS software"],"x-skills-preferred":["advanced composite manufacturing methods","certification in Quality or Supplier Management","regulated or defense-related industry","NADCAP, ASTM standards, or MIL-STD composite quality requirements"],"datePosted":"2026-04-17T12:58:08.553Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"composite manufacturing, quality management, supplier quality, root cause analysis, statistical process control, data-driven quality metrics, Microsoft Office Suite, ERP or QMS software, advanced composite manufacturing methods, certification in Quality or Supplier Management, regulated or defense-related industry, NADCAP, ASTM standards, or MIL-STD composite quality requirements"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5208bb19-b50"},"title":"Industrial Engineer","description":"<p>As an Industrial Engineer at Saronic Technologies, you will be responsible for optimizing our manufacturing and operational processes related to the development of autonomous surface vessels. Your role will involve applying principles of material flow, lean manufacturing, Six Sigma, and data analytics to improve the efficiency of our production systems, reduce waste, and ensure that all systems are cost-effective, safe, and sustainable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li><p>Analyze and optimize material flow across manufacturing processes to ensure smooth, efficient production of autonomous surface vessels.</p>\n</li>\n<li><p>Implement lean manufacturing principles and Six Sigma methodologies to reduce waste, improve cycle times, and increase throughput.</p>\n</li>\n<li><p>Conduct data analysis and generate actionable insights to guide process improvements and decision-making.</p>\n</li>\n<li><p>Develop and refine production workflows, ensuring that materials, components, and labor are utilized efficiently and effectively.</p>\n</li>\n<li><p>Support the development and implementation of performance metrics, KPIs, and other tools to track and improve production efficiency.</p>\n</li>\n<li><p>Collaborate with cross-functional teams (engineering, design, operations) to ensure that new products or changes to existing products are optimized for manufacturability.</p>\n</li>\n<li><p>Identify and address bottlenecks, quality issues, and other inefficiencies in the production process.</p>\n</li>\n<li><p>Assist in capacity planning and resource allocation to meet production goals.</p>\n</li>\n<li><p>Provide guidance and training on lean, Six Sigma, and data analytics techniques to team members.</p>\n</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li><p>Bachelor’s degree in Industrial Engineering or a related field.</p>\n</li>\n<li><p>At least 3 years of experience in industrial engineering, with a strong background in material flow, lean manufacturing, Six Sigma, and data analytics.</p>\n</li>\n<li><p>Proficiency in data analysis tools such as Excel, Minitab, or other statistical software.</p>\n</li>\n<li><p>Strong understanding of manufacturing processes, production planning, and workflow optimization.</p>\n</li>\n<li><p>Experience with process improvement methodologies (Lean, Six Sigma, Kaizen, etc.) and ability to implement them effectively.</p>\n</li>\n<li><p>Lean Six Sigma certification (Green Belt, Black Belt) is a plus.</p>\n</li>\n<li><p>Excellent problem-solving and analytical skills, with the ability to identify root causes and develop practical solutions.</p>\n</li>\n<li><p>Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</p>\n</li>\n<li><p>Familiarity with production environments, preferably in high-tech, defense, or maritime industries.</p>\n</li>\n</ul>\n<p>Physical Demands:</p>\n<ul>\n<li><p>Ability to perform physically demanding work for extended periods of time, up to 12 hours/day</p>\n</li>\n<li><p>Frequently and repetitively, lift, push and carry up to 20 lbs.</p>\n</li>\n<li><p>The ability to carry 20 lbs. up and down stairs</p>\n</li>\n<li><p>Ability to work outside for an extended period of time</p>\n</li>\n<li><p>Frequently and repetitively, bend, lift and reach to install vehicle parts of varying size and weight overhead, accurately and in allotted timeframes</p>\n</li>\n<li><p>Ability to stand and walk for up to 12 hours/day, including over varied and uneven terrain</p>\n</li>\n<li><p>Stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time, including up to 12 hours/day</p>\n</li>\n<li><p>Climb and maintain balance on ladders, platforms, or other high structures</p>\n</li>\n<li><p>Ability to find issues in a work process and be alert to safety signals using sight, touch, and hearing</p>\n</li>\n<li><p>Demonstrated ability to handle and manipulate tooling and mechanically fasten bolts within required cycle time</p>\n</li>\n<li><p>Exposures to hazardous materials and ability to follow waste handling/disposal procedures</p>\n</li>\n<li><p>Wearing Personal Protective Equipment, including but not limited to safety glasses, safety shoes, hearing protection, gloves and adhering to prescribed safety rules and guidelines</p>\n</li>\n</ul>\n<p>Additional Information:</p>\n<p>Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance, Free lunch benefit and unlimited free drinks and snacks in the office</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5208bb19-b50","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic 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Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. 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We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>Our Sales Engineering team unlocks and empowers prospects&#39; full potential on the Plaid Network. We bring product expertise and drive Revenue outcomes by being customer-obsessed technical advisors in the pre-sales process.</p>\n<p>As a Sales Engineer, you&#39;ll work closely with our Enterprise Sales team as the technical lead during the pre-sales process. 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WFH every Monday</li>\n<li>401(k) plan</li>\n<li>Infant care leave</li>\n<li>On-site gym/showers open 24/7</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5ec63ea6-5a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Neighbor","sameAs":"https://neighbor.com","logo":"https://logos.yubhub.co/neighbor.com.png"},"x-apply-url":"https://jobs.lever.co/neighbor/da1304b7-89ad-4ac0-99e8-9c0cf8284f1c","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Programming languages","Data lakes","Cloud-based data warehouses","Data integration patterns","Scientific, mathematical, or statistical techniques","Business intelligence and reporting tools"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:48:23.740Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"U.S."}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Programming languages, Data lakes, Cloud-based data warehouses, Data integration patterns, Scientific, mathematical, or statistical techniques, Business intelligence and reporting tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed94ae42-58d"},"title":"Data Scientist","description":"<p>We are seeking skilled and motivated Data Scientists to join our team in Paris. You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite.</p>\n<p>This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining key metrics, understanding in-depth the performance of our AI products, and identifying opportunities for improvement.</li>\n<li>Designing and analyzing experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions.</li>\n<li>Designing and implementing end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment.</li>\n<li>Evaluating model performance in training and production, identifying edge cases, and developing frameworks to measure user satisfaction.</li>\n<li>Working with engineering to ensure data quality and accessibility for analytics and ML.</li>\n</ul>\n<p>Nice-to-have skills include familiarity with DBT or similar tools, and experience working on customer-facing products, enterprise products, and with the science team.</p>\n<p>By joining our team, you will have the opportunity to work on exciting projects, collaborate with talented individuals, and contribute to the development of cutting-edge AI solutions.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ed94ae42-58d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/bf5bcae2-839b-492e-a5bc-11d4427ee843","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Statistical modeling","Machine learning","Data analysis"],"x-skills-preferred":["DBT","Customer-facing products","Enterprise products","Science team"],"datePosted":"2026-04-17T12:47:16.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Statistical modeling, Machine learning, Data analysis, DBT, Customer-facing products, Enterprise products, Science team"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef745c10-dc6"},"title":"Senior Manager - BSA/AML & Sanctions Modeling and Analytics","description":"<p><strong>Job Title:</strong> Senior Manager - BSA/AML &amp; Sanctions Modeling and Analytics</p>\n<p><strong>About Us:</strong> Mercury is a fintech company that provides banking services to entrepreneurs and businesses.</p>\n<p><strong>Job Description:</strong> We are looking for a Senior Manager to lead our BSA/AML &amp; Sanctions Modeling and Analytics function. The successful candidate will own and drive enhancement of our financial crime (anti-money laundering and sanctions) detection models. This role will own transaction monitoring, sanctions screening, and customer risk scoring models,ensuring they are data-driven, well-governed, and defensible.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build the modeling and analytics function and take ownership of model documentation, tuning, and partner with engineering for model development.</li>\n<li>Develop and execute the modeling and analytics roadmap supporting the company’s Financial Crimes Compliance program.</li>\n<li>Partner with senior Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks.</li>\n<li>Champion analytical excellence, model governance, and innovation in AML and Sanctions detection approaches.</li>\n<li>Design, implement, and maintain statistical and machine learning models for transaction monitoring, sanctions screening, customer risk scoring, and alert optimization.</li>\n<li>Ensure models and rules have appropriate documentation in line with Mercury’s Model Risk Management framework, draft new documentation for existing models as needed.</li>\n<li>Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor.</li>\n<li>Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends.</li>\n<li>Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5-8 years of experience leading modelling and analytics functions for financial crimes compliance.</li>\n<li>Ability to build and scale the function, including hiring, establishing norms, and delivering excellence along the roadmap.</li>\n<li>Establish regular reporting for modelling and analytics.</li>\n<li>Identify areas of opportunity to increase efficiency and precision of the transaction monitoring and sanctions screening program.</li>\n<li>Highlight and escalate deficiencies in the program and develop a solutions-oriented approach for executive leadership.</li>\n<li>Have the technical writing skills to translate code into plain English and vice versa.</li>\n</ul>\n<p><strong>Total Rewards Package:</strong></p>\n<ul>\n<li>Base salary</li>\n<li>Equity (stock options)</li>\n<li>Benefits</li>\n</ul>\n<p><strong>Salary Range:</strong></p>\n<ul>\n<li>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $239,000 - 298,800</li>\n<li>US employees outside of the New York City, Los Angeles, Seattle or the San Francisco Bay Area: $215,100 - 268,900</li>\n</ul>\n<p><strong>Diversity &amp; Belonging:</strong></p>\n<ul>\n<li>Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer.</li>\n<li>All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.</li>\n<li>We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef745c10-dc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5836114004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$215,100 - 298,800","x-skills-required":["Financial Crimes Compliance","Model Development","Statistical Analysis","Machine Learning","Transaction Monitoring","Sanctions Screening","Customer Risk Scoring"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:44.429Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"Financial Crimes Compliance, Model Development, Statistical Analysis, Machine Learning, Transaction Monitoring, Sanctions Screening, Customer Risk Scoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":215100,"maxValue":298800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_81421350-f92"},"title":"Director of Mineral Processing","description":"<p>The mining industry has become increasingly challenging, with a growing need for new exploration technology. KoBold Metals is addressing this challenge by building AI models for mineral exploration and deploying them alongside novel sensors to guide decisions on its own exploration programs.</p>\n<p>As a Director of Mineral Processing, you will contribute to and lead the development and execution of mineral processing strategy across KoBold&#39;s portfolio, with an initial focus on the Mingomba copper project in Zambia. You will be responsible for all aspects of process engineering from early-stage metallurgical testwork through feasibility study design and operational readiness.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li><p>Own the process flowsheet design for Mingomba and future KoBold projects, from scoping through feasibility.</p>\n</li>\n<li><p>Work hands-on and with your team to define and manage metallurgical testwork programs: comminution characterization, flotation optimization, hydrometallurgical evaluation, and pilot-scale campaigns.</p>\n</li>\n<li><p>Evaluate and recommend processing routes including froth flotation to concentrate, SX-EW, pressure oxidation, and smelter/refinery toll arrangements. Quantify the economic trade-offs of each.</p>\n</li>\n<li><p>Develop process design criteria, mass and water balances, and equipment specifications for feasibility-level engineering.</p>\n</li>\n<li><p>Lead the assessment of tailings characteristics, reprocessing potential, and environmental implications of process residues.</p>\n</li>\n<li><p>Build and maintain a geometallurgical framework that links ore variability (mineralogy, texture, grade distribution) to processing performance with first principles and statistical models.</p>\n</li>\n<li><p>Collaborate with geologists and data scientists to integrate geometallurgical statistics into resource models, mine schedules, and economic analyses.</p>\n</li>\n<li><p>Define sampling protocols for metallurgical characterization of drill core and ensure adequate coverage of ore variability.</p>\n</li>\n<li><p>Ensure mineral processing assumptions are reflected in techno-economic models including TC/RC structures, payable metal calculations, and concentrate penalty elements.</p>\n</li>\n<li><p>Build, lead, and mentor a mineral processing function within KoBold&#39;s Advanced Technology Group.</p>\n</li>\n<li><p>Direct and manage relationships with metallurgical consultants, contract laboratories, and engineering firms.</p>\n</li>\n<li><p>Serve as one of KoBold&#39;s internal experts and external representatives on mineral processing for investor presentations, partner discussions, and technical reviews.</p>\n</li>\n<li><p>Contribute to feasibility study management and preparation of technical reports (NI 43-101 / JORC-compliant as applicable).</p>\n</li>\n<li><p>Identify and evaluate emerging processing technologies relevant to KoBold&#39;s target commodities (copper, lithium, nickel, cobalt) along with the existing team.</p>\n</li>\n<li><p>Work with mine engineers to optimize cut-off grade strategies and ore scheduling based on processing constraints.</p>\n</li>\n<li><p>Partner with KoBold&#39;s data science team to apply machine learning and statistical methods to metallurgical datasets.</p>\n</li>\n<li><p>Coordinate with business development and commercial teams on offtake strategy, concentrate marketing, and smelter negotiations.</p>\n</li>\n<li><p>Support environmental and permitting workstreams with process-related inputs on water use, reagent consumption, emissions, and waste management.</p>\n</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>15+ years of experience with large-scale (ton-kton/day) chemical processes.</li>\n<li>Quantitative, statistical, and scientific rigor, including execution of experimental designs to optimize multistage processing of complex feedstocks.</li>\n<li>Experience with design/build from lab test work through large-scale production.</li>\n<li>Track record of managing consultants, laboratories, and multidisciplinary technical teams.</li>\n<li>Strong technical writing skills, including preparation of technical reports.</li>\n<li>Willingness to travel to project sites in Zambia and other KoBold locations (estimated 20–30%).</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience in mineral processing, with significant time spent on copper sulfide projects from testwork through to operating plant design or commissioning.</li>\n<li>Direct experience leading metallurgical testwork programs and translating results into process design criteria and flowsheet selection.</li>\n<li>Deep understanding of comminution, flotation, hydrometallurgy, and concentrate handling for base metals.</li>\n<li>Experience contributing to pre-feasibility and/or feasibility studies as the responsible mineral processing engineer.</li>\n<li>Experience with sediment-hosted copper deposits (Zambian Copperbelt or Central African Copperbelt geology).</li>\n<li>Familiarity with lithium processing (spodumene flotation, acid roast, DLE) and/or nickel laterite processing.</li>\n<li>Experience with geometallurgical modeling and integration into block models.</li>\n<li>Exposure to SX-EW operations and direct copper cathode production.</li>\n<li>Comfort beyond spreadsheets in working with data science tools (Python, SQL) for scientific analysis.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_81421350-f92","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://www.koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4681468005","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$150,000–$300,000, plus equity and benefits including 401k matching.","x-skills-required":["Mineral processing","Chemical processes","Metallurgical testwork","Flotation optimization","Hydrometallurgical evaluation","Pilot-scale campaigns","Process design 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handling, Base metals, Pre-feasibility studies, Feasibility studies, Sediment-hosted copper deposits, Lithium processing, Nickel laterite processing, Geometallurgical modeling, Block models, SX-EW operations, Direct copper cathode production, Data science tools, Python, SQL","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":401000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f82b9847-6c8"},"title":"Senior Exploration Geologist","description":"<p>About the company</p>\n<p>KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.</p>\n<p>In the six years since founding, KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.</p>\n<p>About the position</p>\n<p>In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations</li>\n<li>Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets</li>\n<li>Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation</li>\n<li>Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)</li>\n<li>Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods</li>\n</ul>\n<p>Qualifications</p>\n<p>A great Senior Exploration Geologist candidate will have:</p>\n<ul>\n<li>Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage</li>\n<li>Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets</li>\n<li>Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns</li>\n<li>Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)</li>\n<li>Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams</li>\n<li>Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration</li>\n<li>Demonstrated commitment to high standards of health and safety in the workplace</li>\n<li>A minimum of 10 years experience in the mineral exploration industry</li>\n</ul>\n<p>It is helpful but not required to have:</p>\n<ul>\n<li>Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)</li>\n<li>Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data</li>\n<li>International experience, particularly in the Central African Copperbelt</li>\n</ul>\n<p>Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f82b9847-6c8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://www.koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4350560005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000-$170,000","x-skills-required":["Strong technical knowledge of one or more ore deposit types","Rigorously analyse geoscientific datasets","Design, budget, permit, and execute field programs","Provide technical guidance and support to local in-country project teams","Work collaboratively with data scientist colleagues"],"x-skills-preferred":["Working knowledge of one programming or scripting language","Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data","International experience, particularly in the Central African Copperbelt"],"datePosted":"2026-04-17T12:40:21.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong technical knowledge of one or more ore deposit types, Rigorously analyse geoscientific datasets, Design, budget, permit, and execute field programs, Provide technical guidance and support to local in-country project teams, Work collaboratively with data scientist colleagues, Working knowledge of one programming or scripting language, Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data, International experience, particularly in the Central African Copperbelt","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b14558e-a0c"},"title":"Principal Business Analyst","description":"<p>We are seeking a highly analytical Senior Business Analyst to lead the development of data-driven credit policies and business strategies at Jeeves. In this role, you will leverage diverse internal and external data sources to optimize underwriting, strengthen customer credit management, and minimize portfolio risk.</p>\n<p>This position requires strong expertise in commercial credit risk, advanced analytical skills, and the ability to translate complex insights into actionable strategies.</p>\n<p><strong>Job Responsibilities:</strong></p>\n<ul>\n<li>Lead the development of best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.). Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers. Design and implement data-driven strategies for customer management, including policies for credit line increases, decreases, and line reinstatements. Work closely with the sales and business development teams to support business growth strategies that preserve effective underwriting and ensure the appropriate application of Jeeves’ credit policy.</li>\n</ul>\n<ul>\n<li>Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures. Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies. Leverage predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to draw insights and develop business strategies. Partner with data scientists to build and leverage credit risk models to optimize credit policies and improve business performance.</li>\n</ul>\n<ul>\n<li>Improve credit monitoring and governance: Define key performance indicators (KPIs) for credit portfolios; build dashboards to monitor portfolio health and strategy performance. Develop and implement improvements to credit portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments. Partner with product, engineering, and finance teams to create and maintain risk adjusted returns framework, including loss forecasting, and execute credit policies and features Implement risk metric monitoring and develop risk mitigation strategies.</li>\n</ul>\n<ul>\n<li>Provide guidance and mentorship to junior analysts on the team, fostering a culture of rigorous analysis and innovation.</li>\n</ul>\n<p><strong>Required Qualifications:</strong></p>\n<ul>\n<li>4+ years in analytics within credit risk management.</li>\n<li>Fluent in English.</li>\n<li>Excellent written and verbal communication skills.</li>\n<li>Intellectual curiosity.</li>\n<li>Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries.</li>\n<li>Proven ability to translate complex data and model results into actionable business strategies.</li>\n<li>Advanced proficiency in SQL and Excel.</li>\n<li>Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.).</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teams.</li>\n<li>Experience in high growth startups.</li>\n<li>Experience with visualization tools such as Tableau.</li>\n<li>Experience building complex financial products and models.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6b14558e-a0c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/829baa2f-d895-4737-8ecc-5c2813abb748","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["commercial credit risk","advanced analytical skills","data-driven credit policies","credit management","portfolio risk","SQL","Excel","Python","R","data analysis","statistical modeling"],"x-skills-preferred":["risk/scoring models","data science teams","visualization tools","complex financial products"],"datePosted":"2026-04-17T12:38:42.048Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogota"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"commercial credit risk, advanced analytical skills, data-driven credit policies, credit management, portfolio risk, SQL, Excel, Python, R, data analysis, statistical modeling, risk/scoring models, data science teams, visualization tools, complex financial products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_426266f8-dd5"},"title":"Principal Business Analyst","description":"<p>We are seeking a highly analytical Senior Business Analyst to lead the development of data-driven credit policies and business strategies at Jeeves. 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In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk.</p>\n<p>Key responsibilities include:\nDeveloping best-in-class data-driven credit policies and business strategies,\nDelivering advancements in data and analytics,\nImproving credit monitoring and governance.</p>\n<p>This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.</p>\n<p>Location: This role is based out of Mexico City, Mexico, and is a full-time hybrid position where it is required to come into our office in Roma Norte (2–3 days/week).</p>\n<p>#LI-HYBRID</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90b91fc5-0e2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/2f587bfd-7f9b-45bb-a69f-d16e4c7d0efd","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Excel","Python","R","Statistical modeling","Data analysis"],"x-skills-preferred":["Commercial credit risk","Alternative data sources","Risk/scoring models","Visualization tools","Complex financial products"],"datePosted":"2026-04-17T12:38:16.957Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"SQL, Excel, Python, R, Statistical modeling, Data analysis, Commercial credit risk, Alternative data sources, Risk/scoring models, Visualization tools, Complex financial products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4cf0ec7a-a06"},"title":"Credit Business Analyst (Colombia)","description":"<p>We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves&#39; global credit portfolio. 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You will also enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.</p>\n<p>This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4cf0ec7a-a06","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/07b2adef-e7f6-4fd8-ae89-120d8e65ccbb","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Excel","Python","R","Statistical modeling","Data analysis"],"x-skills-preferred":["Commercial credit risk","Alternative data sources","Risk/scoring models","Visualization tools","Complex financial products"],"datePosted":"2026-04-17T12:38:06.465Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogota"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"SQL, Excel, Python, R, Statistical modeling, Data analysis, Commercial credit risk, Alternative data sources, Risk/scoring models, Visualization tools, Complex financial products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_05a461b8-5ec"},"title":"Credit Business Analyst (BR)","description":"<p>We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves&#39; global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk.</p>\n<p>You will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. Additionally, you will enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.</p>\n<p>This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.</p>\n<p><strong>Job Responsibilities:</strong></p>\n<ul>\n<li>Develop best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.). 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You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.</li>\n<li>Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.</li>\n<li>You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.</li>\n<li>Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.</li>\n<li>Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.</li>\n<li>Stay up-to-date with the latest advancements and research in the space.</li>\n<li>Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.</li>\n<li>Ensure that systems are efficient, maintainable, and well-monitored.</li>\n<li>Iterate on validation and testing frameworks.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field.</li>\n<li>Master&#39;s degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.</li>\n<li>7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.</li>\n<li>Strong programming skills in Python.</li>\n<li>Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.</li>\n<li>Experience with Search and Indexing technologies.</li>\n<li>Proficient in machine learning techniques and algorithms.</li>\n<li>Experience working with foundational models and corresponding APIs.</li>\n<li>Knowledge of statistical analysis and data scraping techniques.</li>\n<li>Prior experience in developing NLP models and systems.</li>\n<li>Experience with prompting and building LLM applications and agents is a plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Experience building agentic systems or LLM-enabled products.</li>\n<li>Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).</li>\n</ul>\n<p>Compensation:</p>\n<p>The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate&#39;s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e49fd9b7-491","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hebbia","sameAs":"https://hebbia.com/","logo":"https://logos.yubhub.co/hebbia.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/hebbia/jobs/4585152005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $300,000","x-skills-required":["Python","NLP","Machine Learning","Statistics","Programming","Search and Indexing technologies","Foundational models","APIs","Statistical analysis","Data scraping techniques"],"x-skills-preferred":["LLM applications","Agentic systems","AI products"],"datePosted":"2026-04-17T12:37:18.037Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, NLP, Machine Learning, Statistics, Programming, Search and Indexing technologies, Foundational models, APIs, Statistical analysis, Data scraping techniques, LLM applications, Agentic systems, AI products","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2fae570d-c2e"},"title":"Future Consideration","description":"<p>Job Title: Future Consideration</p>\n<p>Are you passionate about empowering everyone with the tools they need to detect, treat, and ultimately prevent diseases? We encourage you to submit your CV or resume if you want to contribute in a meaningful way.</p>\n<p>About Freenome</p>\n<p>Freenome is building technology to gain an understanding of the body through several analytes derived from blood. These signals include cell-free DNA, methylation of cell-free DNA, cell-free RNA, circulating proteins, and immune profiling derived from thousands of prospective samples. By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease-dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure.</p>\n<p>Our Science</p>\n<p>By building comprehensive discovery datasets and modeling critical biological systems, Freenome is learning what biological changes are present within the blood between a variety of different disease states including cancer, autoimmune disorders, infections, drug response, and aging. With the combination of Freenome&#39;s datasets, cross-functional technical expertise, and mission to uncover the biological truth, we seek to positively change the lives of millions through the early detection and early treatment of disease.</p>\n<p>Our Culture</p>\n<p>Freenomers are technical and creative, visionary and grounded, empathetic and passionate. We build teams around divergent expertise, which allows us to solve problems and uncover opportunities in unique ways. Freenomers are some of the most talented experts in their fields, coming together to advance healthcare one breakthrough at a time.</p>\n<p>What does a successful person look like at Freenome?</p>\n<p>Those who thrive at Freenome prioritize, manage, and execute their own goals in alignment with those of the company. They embrace our values of empathy, integrity, and trust, and hold themselves and their team accountable. They crave collaboration with brilliant minds from unfamiliar fields of study and believe that hiring and mentorship are fundamental to our success. Above all, they welcome and provide constructive feedback and criticism, trusting in the good intentions of others, and secure in the knowledge that embracing mistakes is the best way to learn and move on.</p>\n<p>Freenome is proud to be an equal opportunity employer, we value diversity in every way. 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Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.</p>\n<p>The Role</p>\n<p>This is a builder role with direct P&amp;L impact. You will own and scale the homeowner supply growth engine (across acquisition, onboarding, activation, and retention). You’ll be the GM of your own system, driving strategy and execution for a full-stack, AI-first funnel. You’ll ship fast, measure everything, and bring a growth obsession that matches our ambition.</p>\n<p>Responsibilities</p>\n<p>• Build an AI-native homeowner acquisition funnel.\n• Personalized onboarding experiences that adapt dynamically based on user attributes, preferences, and model predictions.\n• Automated pricing, trust-building, and documentation flows that reduce friction and compress time-to-value.\n• Predictive scoring and routing systems to prioritize the right leads, with the right incentives, at the right moment.\n• Internal AI copilots that handle verification, follow-up, and workflow automation, freeing humans to do only what humans must.\n• A scalable measurement framework across the funnel, with source attribution and model-driven forecasting.</p>\n<p>Your Mandate</p>\n<p>• Own strategy and execution for Belong’s homeowner funnel, from first click to full activation.\n• Identify bottlenecks and explode them with product.\n• Partner with leaders to deeply link paid acquisition with in-product performance, and ensure sales and operations can deliver on the promise of Belong.\n• Define success metrics, instrument everything, and build dashboards that replace guesswork with precision.\n• Write crisp PRDs, wireframe smart workflows, and ship frequently.\n• Operate as both a strategic thinker and a tactical executor, you will lead and build.</p>\n<p>What You Bring</p>\n<p>• 2+ years of experience in product management with ownership over growth funnels, ideally in a B2C or marketplace company.\n• You’ve driven CAC down, LTV up, and activation time down with product, not just marketing.\n• You’ve shipped AI-powered product features and understand LLMs, embeddings, and prompt engineering.\n• You’ve built experiments with rigor and made hard calls with imperfect data.\n• You understand user psychology and can design onboarding flows that convert skeptics into champions.\n• You communicate clearly, lead cross-functional pods, and get things shipped.\n• You play to win.</p>\n<p>What Success Looks Like In Year 1</p>\n<p>• Homeowner acquisition costs are down, speed to activation is up, and conversion is accelerating.\n• AI is integrated across the funnel, delivering measurable improvements in cost, quality, and experience.\n• Experimentation velocity is high, insights are trustworthy, and every major decision has a clear metric trail.\n• The growth engine is humming, and you’re in the driver’s seat.</p>\n<p>Qualifications</p>\n<p>• 2+ years of product management experience, preferably in consumer marketplaces or high-growth startups\n• Demonstrated success driving growth initiatives in customer acquisition and retention\n• Experience working across the AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue)\n• Strong understanding of UX principles and ability to turn concepts into high-fidelity wireframes and designs.\n• Proven ability to lead cross-functional teams in a fast-moving, ambiguous environment\n• Excellent communication, collaboration, and stakeholder management skills\n• Familiarity with experimentation frameworks and statistical methods\n• Experience integrating or working with AI technologies to enhance product capabilities\n• Entrepreneurial mindset with a bias for action and a focus on delivering value quickly\n• And you&#39;re pithy.</p>\n<p>Additional Information</p>\n<p>Who You Are</p>\n<p>You don’t want to maintain someone else’s system, you want to build your own. You’re competitive. You run toward outcomes, not away from problems. You are customer-obsessed but ruthless about the business. You think in feedback loops. You crave autonomy and accountability. You’ve been underestimated before, and you’re not done proving people wrong.</p>\n<p>You want to build a lasting product, and you know growth is where the game is won or lost.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_757bdb97-464","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Belong","sameAs":"https://www.belong.com/","logo":"https://logos.yubhub.co/belong.com.png"},"x-apply-url":"https://jobs.lever.co/belong/f678d5b3-973f-4500-8c69-b012f475d012","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Growth Funnels","AI-Powered Product Features","LLMs","Embeddings","Prompt Engineering","Experimentation Frameworks","Statistical Methods","UX Principles","High-Fidelity Wireframes","Design"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:23:07.161Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Growth Funnels, AI-Powered Product Features, LLMs, Embeddings, Prompt Engineering, Experimentation Frameworks, Statistical Methods, UX Principles, High-Fidelity Wireframes, Design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_94882b46-375"},"title":"Staff Applications Engineer","description":"<p>Engineer the Future with Us</p>\n<p>We currently have 614 open roles</p>\n<p><strong>Innovation Starts Here</strong></p>\n<p>Find Jobs For</p>\n<p>Where?When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures.</p>\n<p><strong>Staff Applications Engineer</strong></p>\n<p>Austin, Texas, United States</p>\n<p>Save</p>\n<p>Category: EngineeringHire Type: Employee</p>\n<p><strong>Job ID</strong> 16516<strong>Base Salary Range</strong> $112000-$168000<strong>Date posted</strong> 03/30/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are a dynamic, resourceful engineer with a passion for solving complex challenges in communications technology. Your expertise spans digital and analog communications, and you thrive in fast-paced environments where innovation is encouraged. You’re comfortable engaging with customers, translating technical requirements into actionable solutions, and collaborating with cross-functional teams. You understand the nuances of semiconductor design and communications protocols, and you’re always eager to stay ahead of industry trends.</p>\n<p>You believe in continuous learning and actively pursue opportunities to expand your technical skillset. You value diversity and inclusion, recognizing that innovative ideas come from a variety of perspectives. Your approach is both analytical and creative, allowing you to devise solutions that are not only technically sound but also user-friendly and scalable. You are motivated by making a tangible impact,whether it’s improving product performance, supporting customer success, or mentoring junior engineers.</p>\n<p>You communicate effectively, can explain complex concepts to both technical and non-technical audiences, and are a collaborative team player. You take pride in delivering high-quality outcomes and are comfortable managing multiple priorities while maintaining attention to detail. Your commitment to excellence drives you to exceed expectations and help shape the future of communications technology.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Leads the coordination and execution of all technical activities throughout the lifecycle of a sales opportunity, e.g. technical discovery, negotiation of technical success criteria, product presentations, demonstrations, and evaluations. Works independently, results-oriented, across teams and organizations.</li>\n</ul>\n<ul>\n<li>As a credible hands-on expert in the customer&#39;s application, you will work with customers to better understand their product development requirements and what they need to improve their performance metrics. You will address application-specific design and simulation requirements by utilizing the relevant product technologies and platforms that best meet the customer&#39;s needs. You will internalize the value proposition and convince the customer of the compelling reasons to use Synopsys tools.</li>\n</ul>\n<ul>\n<li>Support the development of differentiating simulation solutions using the Synopsys platform and our products; implement our Synopsys solutions into your customers&#39; design workflows. Expand your expertise and become a recognized expert in your field of application.</li>\n</ul>\n<ul>\n<li>Collaborate with Product Development to translate customer requirements into new product features; participate in the testing of new Ansys product releases, develop application best practices.</li>\n</ul>\n<ul>\n<li>Support the Field and Digital Marketing team by developing promotional materials and supporting events, author conference presentations.</li>\n</ul>\n<ul>\n<li>Contribute to and lead professional service deliveries and conduct training classes.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Accelerate customer adoption of Synopsys communications solutions across diverse industries.</li>\n</ul>\n<ul>\n<li>Enhance product performance and reliability through diligent technical support and feedback.</li>\n</ul>\n<ul>\n<li>Bridge the gap between customers and internal teams for seamless product improvements.</li>\n</ul>\n<ul>\n<li>Empower customers to achieve breakthrough innovations in communications and semiconductor design.</li>\n</ul>\n<ul>\n<li>Foster a culture of collaboration and knowledge sharing within the Applications Engineering team.</li>\n</ul>\n<ul>\n<li>Contribute to Synopsys’ leadership in communications technology by enabling successful implementations and use cases.</li>\n</ul>\n<ul>\n<li>Shape industry standards and best practices by representing Synopsys in external engagements.</li>\n</ul>\n<ul>\n<li>Drive continuous improvement in customer satisfaction and product adoption rates.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Required education and degree type: BS or MS or PhD in Mechanical, Aerospace, Materials Science Engineering or related field</li>\n</ul>\n<ul>\n<li>Required minimum years of professional experience in an engineering software environment: BS+5, MS+3, or PhD+0</li>\n</ul>\n<ul>\n<li>Strong fundamentals in continuum mechanics, nonlinear solid and structural mechanics, structural dynamics, numerical analysis for solids and structures</li>\n</ul>\n<ul>\n<li>Subject matter expert in computational solid and structural mechanics and is/will be sought out for advice by other Synopsys engineers</li>\n</ul>\n<ul>\n<li>Demonstrated use of relevant Synopsys software (e.g. Ansys Mechanical, LS-Dyna) or knowledge of other commercial or open source FEA software (e.g. Abaqus, NASTRAN, Marc, Moose etc)</li>\n</ul>\n<ul>\n<li>Experience in automating engineering workflows and/or developing custom solver subroutines in Python/FORTRAN/C/C++</li>\n</ul>\n<ul>\n<li>Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English</li>\n</ul>\n<ul>\n<li>Strong organizational and time management skills, possesses a sense of urgency</li>\n</ul>\n<ul>\n<li>Working across different teams and stakeholders to progress projects effectively</li>\n</ul>\n<ul>\n<li>Projects a professional image and demonstrates business acumen, driven to succeed</li>\n</ul>\n<ul>\n<li>Ability to travel domestically up to 25% of time</li>\n</ul>\n<p><strong>Preferred requirements:</strong></p>\n<ul>\n<li>Demonstrated ability to study complex failure modes within electronics/semiconductor packaging using FEA or related numerical methods</li>\n</ul>\n<ul>\n<li>2+ years experience in electronics/semiconductor applications focused on mechanical reliability at die/package level or in semiconductor manufacturing processes</li>\n</ul>\n<ul>\n<li>Understanding and/or demonstrated application of ML algorithms applied to solid and structural mechanics applications</li>\n</ul>\n<ul>\n<li>Demonstrated application of automation, statistical/ML based model order reduction methodologies to accelerate engineering predictions for product design</li>\n</ul>\n<ul>\n<li>Understanding of atomistic modeling methods applied to engineering applications</li>\n</ul>\n<ul>\n<li>Demonstrated history of presenting in highly regarded conferences and publishing in top-tier journals/conference proceedings</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Excellent communicator,able to convey technical information clearly and concisely.</li>\n</ul>\n<ul>\n<li>Collaborative team player who thrives in diverse, inclusive environments.</li>\n</ul>\n<ul>\n<li>Analytical thinker with strong problem-solving skills.</li>\n</ul>\n<ul>\n<li>Adaptable and able to manage multiple priorities in dynamic settings.</li>\n</ul>\n<ul>\n<li>Customer-focused, with a commitment to delivering outstanding service and solutions.</li>\n</ul>\n<ul>\n<li>Proactive learner, open to new technologies and approaches.</li>\n</ul>\n<ul>\n<li>Empathetic and supportive, ready to mentor and guide others.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You’ll join a highly skilled Applications Engineering team specializing in communications technology. The team is dedicated to supporting customers, advancing product innovation, and driving technical excellence across Synopsys’ communications portfolio. Collaboration is at the heart of our work, and we foster an environment where ideas are shared freely and every team member’s contributions are valued. Together, we tackle complex challenges and enable customers to achieve their goals.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary perks designed to support your well-being and career growth.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_94882b46-375","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/austin/staff-applications-engineer/44408/93437232768","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$112000-$168000","x-skills-required":["continuum mechanics","nonlinear solid and structural mechanics","structural dynamics","numerical analysis for solids and structures","Ansys Mechanical","LS-Dyna","Abaqus","NASTRAN","Marc","Moose","Python","FORTRAN","C","C++","logical problem-solving","interpersonal and communication skills","English"],"x-skills-preferred":["ML algorithms","automation","statistical/ML based model order reduction methodologies","atomistic modeling methods","presenting in conferences","publishing in top-tier journals/conference proceedings"],"datePosted":"2026-04-05T13:16:43.182Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"continuum mechanics, nonlinear solid and structural mechanics, structural dynamics, numerical analysis for solids and structures, Ansys Mechanical, LS-Dyna, Abaqus, NASTRAN, Marc, Moose, Python, FORTRAN, C, C++, logical problem-solving, interpersonal and communication skills, English, ML algorithms, automation, statistical/ML based model order reduction methodologies, atomistic modeling methods, presenting in conferences, publishing in top-tier journals/conference proceedings","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":168000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b02cb80f-124"},"title":"US CCO & BSA Officer, Bridge","description":"<p>We are hiring a US CCO &amp; BSA Officer to join our Bridge team. 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Accountable for regulatory change management, including tracking, interpreting, and operationalizing OCC bulletins, FFIEC updates, and FinCEN rulemaking.\nProvide oversight of model risk management where transaction monitoring or sanctions screening tools involve machine learning or statistical models, consistent with OCC model risk guidance.\nResponsibility for ensuring staff training programs meet OCC standards , including board-level AML/BSA training and documentation of attendance/completion.</p>\n<p>Requirements:\n8+ years leadership experience in AML/BSA, including responsibility for regulator-facing financial crime programs (e.g., MLRO, BSA Officer, Deputy BSA Officer).\nStrong working knowledge of U.S. BSA/AML, OFAC, OCC expectations, and FFIEC requirements.\nComfortable in a startup-like environment , able to move between high-level strategy and hands-on work.\nStrong communicator who can work cross-functionally and engage confidently with regulators.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b02cb80f-124","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7463165","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AML/BSA","U.S. BSA/AML","OFAC","OCC","FFIEC","Machine learning","Statistical models"],"x-skills-preferred":["Global financial institution experience","Third-party on-chain monitoring tools","Digital assets","Stablecoins","Blockchains"],"datePosted":"2026-03-31T18:23:34.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"AML/BSA, U.S. BSA/AML, OFAC, OCC, FFIEC, Machine learning, Statistical models, Global financial institution experience, Third-party on-chain monitoring tools, Digital assets, Stablecoins, Blockchains"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_509fe158-5ef"},"title":"Data Scientist","description":"<p>We are seeking a Data Scientist to join Spotify&#39;s Artist-First AI Music Lab. Our team pioneers state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. As a Data Scientist on this team, you&#39;ll help bridge cutting-edge AI research with outstanding product experiences.</p>\n<p>Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership</li>\n<li>Develop and own success metrics for generative music features and systems</li>\n<li>Design and analyze A/B tests and causal studies to evaluate product and model impact</li>\n<li>Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists</li>\n<li>Build scalable dashboards to monitor feature health and ecosystem impact</li>\n<li>Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality</li>\n<li>Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements</li>\n<li>Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows</li>\n<li>Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)</li>\n<li>You bring 4+ years of experience as a Data Scientist influencing product decisions through data</li>\n<li>You&#39;re highly proficient in SQL and Python and comfortable working with large-scale datasets</li>\n<li>You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows</li>\n<li>You have strong product intuition and a results-focused perspective, you seek the &#39;why&#39; behind the data</li>\n<li>You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices</li>\n<li>You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact</li>\n<li>You thrive in ambiguous, zero-to-one environments and enjoy defining metrics &amp; opportunities for entirely new product categories</li>\n<li>You&#39;re motivated by creating real value for music fans and music creators</li>\n</ul>\n<p>Where You&#39;ll Be:</p>\n<ul>\n<li>We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.</li>\n<li>This team operates within the Eastern Standard time zone for collaboration</li>\n</ul>\n<p>Additional Information:\nThe United States base range for this position is $110,018 - $157,169 plus equity. 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You will be responsible for the content, format, and overall quality of the outputs delivered to the client and for monitoring their operational and technical implementation where required.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Deliver projects related to the monitoring of the client&#39;s digital activity based on key performance indicators (reporting), to onsite conversion optimization through data analysis and webtesting, to online media buy optimization and CRM.</li>\n<li>Analyse data and structure relevant information for the client&#39;s benefit, in consistency with business indicators specific to their industry (eg. mobile operators, retail, travel, etc.)</li>\n<li>Develop a sharp operational expertise on both conversion and online media-buy topics</li>\n<li>Meet clients&#39; needs and pay strong attention to the quality of all deliverables</li>\n<li>Occasional travel possible, within Italia or abroad (including Paris)</li>\n</ul>\n<p><strong>Education and Experience</strong></p>\n<ul>\n<li>Master&#39;s degree (business, engineering) or equivalent diploma</li>\n<li>1 to 3 years experience in digital marketing, consulting firms, marketing or business intelligence software, or media agencies</li>\n<li>Working with web analytics tools</li>\n<li>Knowledge of the main online acquisition channels: SEO, SEM and bidmanagement, display and programmatic, affiliates, email and social media</li>\n</ul>\n<p><strong>Skills and Interests</strong></p>\n<ul>\n<li>Fluent in Italian &amp; English and excellent communication, oral and written</li>\n<li>Strong analytical skills and knowledge of analysis, statistical software and data vizualization tool</li>\n<li>Good business and market understanding</li>\n<li>Client-facing skills</li>\n<li>Good team spirit</li>\n<li>Strong interest in new technologies and the digital industry</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_053395ac-df3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fifty-Five","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/4Mf15VYnLsoBiTHf2C9Yws/hybrid-senior-digital-analytics-consultant-h%2Ff-(milan)-in-milan-at-fifty-five","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["web analytics tools","SEO","SEM","bidmanagement","display","programmatic","affiliates","email","social media","data analysis","statistical software","data visualization tool"],"x-skills-preferred":["Italian","English","communication","oral and written","analytical skills","business and market understanding","client-facing skills","team spirit","new technologies","digital industry"],"datePosted":"2026-03-09T16:59:53.635Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milan"}},"employmentType":"FULL_TIME","occupationalCategory":"Consulting","industry":"Consulting","skills":"web analytics tools, SEO, SEM, bidmanagement, display, programmatic, affiliates, email, social media, data analysis, statistical software, data visualization tool, Italian, English, communication, oral and written, analytical skills, business and market understanding, client-facing skills, team spirit, new technologies, digital industry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7fc50e60-df1"},"title":"FBS - Associate Decision Scientist","description":"<p><strong>Description</strong></p>\n<p>Our client is a leading insurer with a wide range of products and services. As part of the Decision Science team, this role is central to connecting marketing performance with business outcomes.</p>\n<p><strong>About the role</strong></p>\n<p>As an Associate Decision Scientist, you&#39;ll transform data into actionable insights that guide strategic decisions across online and call center channels. You&#39;ll combine analytical rigor with storytelling to help stakeholders understand what&#39;s driving performance and how to optimize future campaigns.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Analyze marketing performance across channels and connect spend to customer value.</li>\n<li>Build and maintain dashboards and data models that accurately reflect marketing KPIs.</li>\n<li>Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.</li>\n<li>Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.</li>\n<li>Support broader Decision Science initiatives with analytical expertise.</li>\n<li>Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.</li>\n<li>Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong analytical mindset with demonstrated problem-solving skills.</li>\n<li>Excellent verbal communication and listening skills; basic storytelling ability.</li>\n<li>Experience in marketing analysis and campaign performance evaluation.</li>\n<li>Familiarity with marketing KPIs and conversion funnel optimization.</li>\n<li>Proficient in SQL and data wrangling techniques.</li>\n<li>Conceptual understanding of statistical and machine learning methods.</li>\n<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Technical aptitude with tools such as Python, R, Snowflake.</li>\n<li>Comfortable working in fast-paced environments and adapting to new technologies.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7fc50e60-df1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/eGkj27cvQSz49b7P36NHvq/hybrid-fbs---associate-decision-scientist-in-mexico-city-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data wrangling techniques","statistical and machine learning methods","data visualization tools","Python","R","Snowflake"],"x-skills-preferred":["Tableau","Power BI"],"datePosted":"2026-03-09T16:59:31.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"SQL, data wrangling techniques, statistical and machine learning methods, data visualization tools, Python, R, Snowflake, Tableau, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fddc039d-8c1"},"title":"Digital Analytics Consultant","description":"<p>As a Digital Analytics Consultant at Fifty-Five, you will actively take part in delivering data-led projects to multiple clients, working on CRM related topics. You will contribute to promoting a customer-centred vision of digital marketing, based on the systematic and methodical use of data to support decisions. You will work across multiple industries including luxury, FMCG, sport, and beauty.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver projects related to the monitoring of the client&#39;s digital activity based on key performance indicators (reporting), to onsite conversion optimization through data analysis and webtesting, to online media buy optimization and CRM.</li>\n<li>Analyse data and structure relevant information for the client&#39;s benefit, in consistency with business indicators specific to their industry.</li>\n<li>Develop a sharp operational expertise on both conversion and online media-buy topics.</li>\n<li>Meet clients&#39; needs and pay strong attention to the quality of all deliverables.</li>\n<li>Occasional travel possible, within Switzerland or abroad (including Paris).</li>\n</ul>\n<p>Education and Experience:</p>\n<ul>\n<li>Master&#39;s degree (business, engineering) or equivalent diploma.</li>\n<li>Experience in digital marketing, consulting firms, marketing or business intelligence software, or media agencies.</li>\n<li>Working with web analytics tools.</li>\n<li>Knowledge of the main online acquisition channels: SEO, SEM and bidmanagement, display and programmatic, affiliates, email and social media.</li>\n</ul>\n<p>Skills and Interests:</p>\n<ul>\n<li>Fluent in French &amp; English and excellent communication, oral and written.</li>\n<li>Strong analytical skills and knowledge of analysis, statistical software and data visualization tool.</li>\n<li>Good business and market understanding.</li>\n<li>Client-facing skills.</li>\n<li>Good team spirit.</li>\n<li>Strong interest in new technologies and the digital industry.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fddc039d-8c1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fifty-Five","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/fKa4pBamhbGjUZh9JiDzo6/digital-analytics-consultant---geneva-(h%2Ff)-in-geneva-at-fifty-five","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["digital marketing","web analytics tools","SEO","SEM","bidmanagement","display","programmatic","affiliates","email","social media","analysis","statistical software","data visualization tool"],"x-skills-preferred":["new technologies","digital industry"],"datePosted":"2026-03-09T16:59:28.302Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Geneva"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Consulting","skills":"digital marketing, web analytics tools, SEO, SEM, bidmanagement, display, programmatic, affiliates, email, social media, analysis, statistical software, data visualization tool, new technologies, digital industry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27e2dc2b-ff1"},"title":"FBS Associate Decision Scientist","description":"<p>Our team is looking for an Associate Decision Scientist to join a collaborative, high-impact team that works on large-scale, meaningful business challenges. In this role, you&#39;ll be shaping and optimizing the pipelines, conducting in-depth statistical analyses, and building predictive models that influence key business decisions.</p>\n<p>You&#39;ll have the opportunity to design dashboards with Power BI and Excel, help build end-to-end data pipelines using SQL and Python, and develop your knowledge in statistical modeling, machine learning, and data storytelling. The problems we tackle are challenging and require creativity, critical thinking, and curiosity.</p>\n<p>As an Associate Decision Scientist, you&#39;ll work closely with stakeholders across functions to explore questions, tell stories through data, and drive innovation through analytics. You&#39;ll be part of a team that is passionate about using data to drive business decisions and improve outcomes.</p>\n<p>We&#39;re looking for someone who is eager to learn and grow with our team, and who is passionate about using data to drive business decisions. If you&#39;re interested in a challenging and rewarding role that will allow you to develop your skills and expertise, we encourage you to apply.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Shape and optimize pipelines to improve business outcomes</li>\n<li>Conduct in-depth statistical analyses to inform business decisions</li>\n<li>Build predictive models to influence key business decisions</li>\n<li>Design dashboards with Power BI and Excel to communicate insights to stakeholders</li>\n<li>Help build end-to-end data pipelines using SQL and Python</li>\n<li>Develop knowledge in statistical modeling, machine learning, and data storytelling</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1 to 3 years of experience</li>\n<li>Experience with SQL, Python</li>\n<li>Experience with Power BI or other data visualization tools</li>\n<li>Entry-level knowledge with modeling and machine learning algorithms</li>\n<li>Insurance and actuarial skills (nice to have)</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health and Dental Insurance</li>\n<li>Pension Plan</li>\n<li>Meals tickets</li>\n<li>Life Insurance</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_27e2dc2b-ff1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/nXRNETCn9jsBHXTihRg3WM/remote-fbs-associate-decision-scientist-in-brazil-at-capgemini","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","Power BI","Excel","Statistical modeling","Machine learning","Data storytelling"],"x-skills-preferred":["Insurance and actuarial skills"],"datePosted":"2026-03-09T16:57:53.113Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Finance","skills":"SQL, Python, Power BI, Excel, Statistical modeling, Machine learning, Data storytelling, Insurance and actuarial skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0498bb39-4b1"},"title":"Quantitative Researcher","description":"<p><strong>Quantitative Researcher</strong></p>\n<p><strong>Job Summary</strong></p>\n<p>We&#39;re seeking a highly skilled Quantitative Researcher to join our team at Fuse Energy. As a Quantitative Researcher, you will develop and implement quantitative models to support hedging strategies for retail energy supply, analyze market data to optimize the performance of physical assets, and conduct statistical and scenario-based modeling to inform trading and risk management decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop and implement quantitative models to support hedging strategies for retail energy supply</li>\n<li>Analyze market data to optimize the performance of physical assets such as solar and wind farms</li>\n<li>Conduct statistical and scenario-based modeling to inform trading and risk management decisions</li>\n<li>Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities</li>\n<li>Collaborate with engineering and operations teams to integrate models into day-to-day decision-making</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics</li>\n<li>Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization</li>\n<li>Solid understanding of statistical modeling, optimization, and analysis techniques</li>\n<li>Experience working with time series or market data, preferably in energy or commodities markets</li>\n<li>Strong problem-solving skills and the ability to translate complex data into actionable insights</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office-based employees</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0498bb39-4b1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/gZBd5ZtoA1c61iWfWpoubt/quantitative-researcher-in-london-at-fuse-energy","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","data analysis","statistical modeling","optimization","time series analysis"],"x-skills-preferred":[],"datePosted":"2026-03-09T16:57:46.511Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, data analysis, statistical modeling, optimization, time series analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c818f438-851"},"title":"FBS CX Data Analyst","description":"<p>Our Client is seeking a Customer Experience (CX) Data Analyst to work at the intersection of data, customer behavior, and business strategy. In this role, you will analyze customer data to uncover trends, behaviors, and opportunities to enhance customer experience. You will develop dashboards and reports to support CX performance tracking and strategic initiatives. You will use SQL, Python, and BI tools to extract, manipulate, and analyze structured data. You will apply statistical, financial, and forecasting models to support business planning and performance optimization. You will partner with cross-functional teams to translate business questions into analytical frameworks. You will ensure data accuracy, integrity, and consistency across multiple data sources. You will support AI-driven and advanced analytics initiatives to improve customer insights. You will continuously improve reporting processes and data platforms to meet evolving business needs.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Analyze customer data to uncover trends, behaviors, and opportunities to enhance customer experience</li>\n<li>Develop dashboards and reports to support CX performance tracking and strategic initiatives</li>\n<li>Use SQL, Python, and BI tools to extract, manipulate, and analyze structured data</li>\n<li>Apply statistical, financial, and forecasting models to support business planning and performance optimization</li>\n<li>Partner with cross-functional teams to translate business questions into analytical frameworks</li>\n<li>Ensure data accuracy, integrity, and consistency across multiple data sources</li>\n<li>Support AI-driven and advanced analytics initiatives to improve customer insights</li>\n<li>Continuously improve reporting processes and data platforms to meet evolving business needs</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of experience in Data Analytics, Business Intelligence, or Customer Analytics roles</li>\n<li>Bachelor’s degree in Statistics, Mathematics, Business Analytics, Data Engineering, Data Science, or related field</li>\n<li>Advanced English proficiency</li>\n<li>Analytics – Intermediate</li>\n<li>Statistical Modeling – Intermediate</li>\n<li>Financial Modeling – Intermediate</li>\n<li>Forecasting – Intermediate</li>\n<li>SQL – Intermediate</li>\n<li>Python – Intermediate</li>\n<li>Excel – Intermediate</li>\n<li>Power BI – Entry Level</li>\n<li>Snowflake – Entry Level</li>\n<li>Microsoft 365 &amp; Copilot – Entry Level</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c818f438-851","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/vRDgqUEKbzbmw8fG9oDkZ8/hybrid-fbs-cx-data-analyst-in-bogot%C3%A1-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","BI tools","Statistical modeling","Financial modeling","Forecasting","Data analysis","Data visualization","Business intelligence","Customer analytics"],"x-skills-preferred":["Power BI","Snowflake","Microsoft 365 & Copilot"],"datePosted":"2026-03-09T16:51:55.800Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogotá, Bogota, Colombia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, Python, BI tools, Statistical modeling, Financial modeling, Forecasting, Data analysis, Data visualization, Business intelligence, Customer analytics, Power BI, Snowflake, Microsoft 365 & Copilot"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d92bf714-0ed"},"title":"Python Financial Model Engineer, Associate","description":"<p>About this role</p>\n<p>We are looking for a self-motivated software engineer to onboard models to our platform. Collaborate with modellers on the implementation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks.</p>\n<p>Our team</p>\n<ul>\n<li>Is passionate about technology and solving complex problems.</li>\n<li>Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.</li>\n<li>Consists of technologists that unlock constant innovation.</li>\n<li>Constantly challenges the technology status quo and looks for ways to improve the platform.</li>\n</ul>\n<p>Key Responsibilities</p>\n<p>We expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority):</p>\n<ul>\n<li>Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts.</li>\n<li>Work with modellers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices.</li>\n<li>Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.</li>\n<li>Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.</li>\n<li>Enhance the performance of existing models, ensuring they operate efficiently at scale.</li>\n<li>Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.</li>\n<li>Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs.</li>\n</ul>\n<p>Skillset</p>\n<ul>\n<li>Strong experience (3+ years) in Python is crucial</li>\n<li>Bachelor’s (BSc) or higher degree in Computer Science or related field</li>\n<li>Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)</li>\n<li>Good understanding of Object-Oriented Design principles</li>\n<li>Fluency with AI coding tools and the use of LLM in everyday development</li>\n<li>Good understanding of fundamental Algorithms and Data Structures</li>\n<li>Knowledge of Azure DevOps and git, CI/CD</li>\n<li>Good understanding of unit tests, integration and regression tests, and their importance</li>\n<li>An aptitude for designing data models and pipelines is a plus</li>\n<li>Ability to understand advanced mathematical and statistical methods and concepts</li>\n<li>Fluency in reading, writing and speaking English</li>\n</ul>\n<p>Personal Qualities</p>\n<ul>\n<li>Team player</li>\n<li>Problem-solving skills</li>\n<li>Critical and analytical thinking</li>\n<li>Technical curiosity</li>\n<li>Adaptable</li>\n</ul>\n<p>Our benefits</p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p>Our hybrid work model</p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. 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Your expertise in Python and C++ stands out, alongside your proficiency in parallel computing, statistical analysis, and optimization. Collaborative by nature, you communicate effectively and enjoy working with diverse, cross-functional teams, sharing knowledge and learning from others. You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. Your drive for excellence, adaptability, and enthusiasm for innovation make you a critical contributor to complex engineering projects. 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The team’s core focus is on developing and optimizing model components, exploring new modeling techniques, and modernizing infrastructure to address challenging problems in advanced software engineering. You’ll work alongside experts in computational lithography and software development, collaborating to deliver industry-leading solutions for semiconductor manufacturing.</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. 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