{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/predictive-modeling"},"x-facet":{"type":"skill","slug":"predictive-modeling","display":"Predictive Modeling","count":16},"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_02c944ab-f9e"},"title":"Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)","description":"<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Analyst and Data Engineer. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic and data driven pricing strategy.</p>\n<p>You&#39;ll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.</p>\n<p>As a Senior Data Scientist, you&#39;ll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:</p>\n<ul>\n<li>Translate business questions into scientific, testable models and clear recommendations.</li>\n<li>Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.</li>\n<li>Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.</li>\n<li>Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.</li>\n<li>Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.</li>\n<li>Monitor model performance, iterate on results, and continuously improve accuracy and relevance.</li>\n<li>Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.</li>\n</ul>\n<p>You&#39;ll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You&#39;ll have a strong background in statistics, forecasting, and machine learning. You&#39;ll be hands-on with Python and SQL, and confident working with large datasets. You&#39;ll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).</p>\n<p>You&#39;ll be a self-starter: proactive, hungry to learn, and eager to make an impact. You&#39;ll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.</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_02c944ab-f9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2518625","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Machine Learning","Forecasting","Predictive Modeling","Data Science","Data Analysis","Data Engineering"],"x-skills-preferred":["Dynamic Pricing","Revenue Optimization","Marketplace Dynamics","Cloud Computing","Big Data","Data Visualization"],"datePosted":"2026-04-18T22:10:08.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Machine Learning, Forecasting, Predictive Modeling, Data Science, Data Analysis, Data Engineering, Dynamic Pricing, Revenue Optimization, Marketplace Dynamics, Cloud Computing, Big Data, Data Visualization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_80d15de9-aa7"},"title":"Senior Data Scientist - Rankings & Recommendations (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers.</p>\n<p>You will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.</p>\n<p>You&#39;ll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.</p>\n<p>You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.</p>\n<p>You’ll report to the Team Lead, Data Science.</p>\n<p>Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.</p>\n<p><strong>Our Tech Stack</strong></p>\n<ul>\n<li>Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow</li>\n</ul>\n<p>The Ranking challenge at Holidu</p>\n<p>Holidu lists over 4 million vacation rental properties. Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.</p>\n<p>What&#39;s live today:</p>\n<ul>\n<li>Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.</li>\n</ul>\n<ul>\n<li>Cold-start models for new properties with limited behavioral data.</li>\n</ul>\n<ul>\n<li>Personalized recommendations based on user browsing patterns.</li>\n</ul>\n<p>Some of the hard problems we&#39;re solving:</p>\n<ul>\n<li>Multi-objective optimization: Balancing user relevance, conversion probability, and business value.</li>\n</ul>\n<ul>\n<li>Personalization without history: Most users are anonymous or first-time visitors.</li>\n</ul>\n<ul>\n<li>Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>You&#39;ll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you&#39;ll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.</p>\n<ul>\n<li>Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.</li>\n</ul>\n<ul>\n<li>Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.</li>\n</ul>\n<ul>\n<li>Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.</li>\n</ul>\n<ul>\n<li>Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.</li>\n</ul>\n<ul>\n<li>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</li>\n</ul>\n<ul>\n<li>Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team&#39;s prioritization and project execution.</li>\n</ul>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.</li>\n</ul>\n<ul>\n<li>Experience working on ranking models or recommender systems is a strong advantage.</li>\n</ul>\n<ul>\n<li>A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.</li>\n</ul>\n<ul>\n<li>Experience with Airflow and dbt is a plus.</li>\n</ul>\n<ul>\n<li>Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.</li>\n</ul>\n<ul>\n<li>AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n</ul>\n<ul>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n</ul>\n<ul>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.</li>\n</ul>\n<ul>\n<li>Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</li>\n</ul>\n<ul>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\n</ul>\n<ul>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.</li>\n</ul>\n<p>Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers page! Your first travel contact will be Lucia from HR.</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_80d15de9-aa7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2413808","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","Airflow","dbt","AWS","MLflow","Machine Learning","Statistics","Predictive Modeling","SQL"],"x-skills-preferred":["AI","Data Science","Ranking Models","Recommender Systems","Collaboration","Communication"],"datePosted":"2026-04-18T22:09:15.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Airflow, dbt, AWS, MLflow, Machine Learning, Statistics, Predictive Modeling, SQL, AI, Data Science, Ranking Models, Recommender Systems, Collaboration, Communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6683dad6-0d9"},"title":"Senior Data Scientist","description":"<p>Join us to build the decision engine for better mental health outcomes.</p>\n<p>As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly.</p>\n<p>When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Being the analytics partner inside the pod, working closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define questions, metrics, guardrails, and decision rules.</li>\n<li>Running rigorous experiments, designing and analyzing A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria.</li>\n<li>Connecting behavior to strategy, using funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact.</li>\n<li>Using causal inference when experiments are not possible, applying approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification.</li>\n<li>Building models when they should exist, developing predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.</li>\n<li>Creating decision-ready work, producing analysis and narratives that are crisp, honest about uncertainty, and drive action.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.</li>\n<li>Strong SQL and strong proficiency in Python or R for analysis and modeling.</li>\n<li>Demonstrated depth in experimentation and causal inference under real-world constraints.</li>\n<li>Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.</li>\n<li>Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.</li>\n<li>Clear communication: you can explain complex work to non-technical audiences without losing the truth.</li>\n<li>A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.</li>\n<li>Motivation for our mission: improving access and affordability in mental healthcare.</li>\n</ul>\n<p>The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. 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You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.</p>\n<p>In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.</p>\n<p>If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!</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_57339490-7ab","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Komodo Health","sameAs":"https://www.komodohealth.com/","logo":"https://logos.yubhub.co/komodohealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/komodohealth/jobs/8460436002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$112,000-$165,000 USD (San Francisco Bay Area and New York City), $129,000-$145,000 USD (All Other US Locations)","x-skills-required":["Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics)","Minimum of 5 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients","Strong project management skills, with experience leading cross-functional teams and managing client relationships","Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences","Proficiency in data analysis tools and programming languages such as SQL, Python, or R"],"x-skills-preferred":["Experience working in a consulting or professional services environment, preferably within the healthcare industry","Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure","Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR","Advanced analytical skills, including predictive modeling, machine learning, and data visualization"],"datePosted":"2026-04-18T15:55:00.487Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics), Minimum of 5 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients, Strong project management skills, with experience leading cross-functional teams and managing client relationships, Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences, Proficiency in data analysis tools and programming languages such as SQL, Python, or R, Experience working in a consulting or professional services environment, preferably within the healthcare industry, Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure, Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR, Advanced analytical skills, including predictive modeling, machine learning, and data visualization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a6e477d-541"},"title":"Reliability Engineer - Road Runner","description":"<p>We are seeking an experienced Reliability Engineer to join our team in support of our Roadrunner product line. 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If you are someone who has hands-on experience throughout the new product development life cycle from concept to customer delivery, loves to build world-class Reliability processes, can work efficiently across multi-disciplinary teams, and be accountable for results, then this role is for you.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support and review system block diagrams, interface control documents, and schematics for compliance, redundancy, and accuracy against requirements and concept of operations.</li>\n<li>Lead Failure Modes &amp; Effects Analysis efforts and collaborate with cross-functional Engineering teams to implement product improvements for Reliability.</li>\n<li>Perform predictive reliability analysis to calculate probability of loss of control, loss of asset, and MTTF/MTBF utilizing Anduril requirements, specifications, and relevant industry standards (i.e. MIL-HDBK-217Plus).</li>\n<li>Develop Qualification Test plans to ensure appropriate requirements coverage, and work with Test Engineering to fixture, instrument, and execute test campaigns.</li>\n<li>Develop Maintainability prediction models using MIL-HDBK-472, and support the development of Preventative Maintenance &amp; Sparing plans.</li>\n<li>Perform Weibull analysis utilizing data from Qualification campaigns and from fielded assets.</li>\n<li>Work with Quality and Manufacturing Engineering to ensure inspection and acceptance test gates are in place and documented against requirements.</li>\n<li>Use data analysis techniques to highlight key problem areas for deployed products, and drive root cause analysis &amp; corrective action implementation to closure.</li>\n<li>Develop and implement Reliability processes for the business to improve and streamline our Design, Manufacturing, and Deployment Operations efforts for rapid development.</li>\n<li>Support Development Milestone Reviews through identification of appropriate entry and exit criteria, and work with Quality Engineering to guide the hand off process to production.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Minimum of 5 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer</li>\n<li>B.S. 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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 with a track record of solving big, ambiguous problems at the intersection of data, product, and business strategy.</p>\n<p>You’ll do more than ivory-tower modeling; you’ll help us define what “content quality” looks like, design better experiments, and ship real product changes to users.</p>\n<p>If you love both statistical rigor and real-world business impact, this might be the role for you!</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Proactively identify valuable areas of investigation that help deepen our understanding of our members, writers, and overall business.</li>\n</ul>\n<ul>\n<li>Partner with diverse technical and non-technical stakeholders across the company to develop hypotheses and generate actionable insights in their domains.</li>\n</ul>\n<ul>\n<li>Work with executives at Medium, including our CEO, to model and present data insights and findings.</li>\n</ul>\n<ul>\n<li>Build and maintain statistical and predictive models about Medium’s 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! We&#39;re a small team, and the folks who do best are those who like to wear many hats.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>In addition to the new skills you&#39;ll pick up, here&#39;s what else you&#39;ll enjoy by working at Medium:</p>\n<ul>\n<li>Working with a fully distributed team: We’re fully remote and have teammates across the U.S. &amp; France.</li>\n</ul>\n<ul>\n<li>Healthcare benefits covered at 100% for employees and 70% for dependents.</li>\n</ul>\n<ul>\n<li>Generous parental leave policy.</li>\n</ul>\n<ul>\n<li>Mental health support through Talkspace.</li>\n</ul>\n<ul>\n<li>Financial wellness support through Northstar.</li>\n</ul>\n<ul>\n<li>Stipends for co-working, professional development, wifi, and a one-time home office bonus.</li>\n</ul>\n<ul>\n<li>Unlimited PTO and standard company holidays.</li>\n</ul>\n<ul>\n<li>A discounted Medium membership!</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_4e6e79bb-e0c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Medium","sameAs":"https://medium.com/","logo":"https://logos.yubhub.co/medium.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/medium/jobs/4192878009","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data science","statistical programming","Python","R","SQL","predictive modeling","statistical modeling","machine learning","data engineering"],"x-skills-preferred":["ML engineering practices","dbt"],"datePosted":"2026-04-18T15:48:26.532Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, statistical programming, Python, R, SQL, predictive modeling, statistical modeling, machine learning, data engineering, ML engineering practices, dbt"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dcb44b1b-ec9"},"title":"Senior Data Analyst","description":"<p>At Neighbor, our vision is to bring communities together by solving our neighbors&#39; biggest challenges.</p>\n<p>We&#39;re building the largest hyperlocal marketplace the world has seen. Our marketplace is already flourishing in all 50 states and we&#39;re just getting started!</p>\n<p>As a Senior Data Analyst, you are an independent driver and architect, entrusted with solving Neighbor&#39;s most ambitious, complex, and ambiguous problems. You will leverage advanced data analytics to not only execute the data strategy, but also anticipate the challenges that lie ahead. You will bridge the gap between executive vision and technical implementation, pioneering robust data models and pipelines while steering executive-level data strategy and fundamentally shaping the company&#39;s data-driven business decisions with your insights.</p>\n<p><strong>Primary Responsibilities</strong></p>\n<ul>\n<li>Help build a world-class Data &amp; Analytics team focused on data integrity, business intelligence, data-driven decisions, testing, accountability and research</li>\n<li>Lead the design and implementation of our data modeling layers (Data Lakes/Warehouses), ensuring a &#39;single source of truth&#39; for a complex, two-sided marketplace</li>\n<li>Beyond SQL, you will build and maintain robust ETL/ELT pipelines and deploy predictive models to forecast and automate insights</li>\n<li>Mentor junior team members and empower non-technical stakeholders to make autonomous, data-informed decisions through world-class BI tooling</li>\n<li>Move beyond &#39;what happened&#39; to &#39;what will happen.&#39; Develop statistical frameworks to test hypotheses and measure the impact of new product features</li>\n<li>Act as the primary data partner for Product, Marketing, Sales, Engineering, Finance, and Customer Success leadership</li>\n<li>Become an expert on all aspects of Neighbor&#39;s product, user, marketing and other data</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 7 years working experience in data analytics</li>\n<li>5+ years of prior experience as a Data Analyst</li>\n<li>3+ years of experience solving complex, ambiguous problems independently and presenting results to stakeholders</li>\n<li>Experience with ETL such as data manipulation, organization and cleaning</li>\n<li>Experience modeling data lakes or data warehouses</li>\n<li>Experience with predictive modeling</li>\n<li>Advanced proficiency in reporting and visualization software</li>\n<li>Experience using mathematical, scientific and statistical techniques to analyze data</li>\n<li>Proven track record of using quantitative analysis to solve problems, and drive key business decisions</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>About Neighbor: Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search.</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_dcb44b1b-ec9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Neighbor","sameAs":"https://www.neighbor.com/","logo":"https://logos.yubhub.co/neighbor.com.png"},"x-apply-url":"https://jobs.lever.co/neighbor/034252c8-d93c-40a0-95dc-2830273acba0","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["ETL","data modeling","predictive modeling","reporting and visualization software","mathematical and statistical techniques","SQL"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:49:13.658Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"U.S."}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ETL, data modeling, predictive modeling, reporting and visualization software, mathematical and statistical techniques, SQL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e5f7b923-e21"},"title":"Data Science Manager","description":"<p>We&#39;re looking for a Data Science Manager to join our team at Stripe. As a Data Science Manager, you will be responsible for the success of your team, driving the roadmap and priorities, collaborating with stakeholders, and managing a high-performing team of data scientists.</p>\n<p>The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe&#39;s solution and growth suite for platforms and marketplaces).</p>\n<p>The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. 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We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.</p>\n<p>We are looking for a FBS Associate Data Scientist to join our team. As a FBS Associate Data Scientist, you will utilize basic knowledge to apply analytics and modeling techniques to improve business results. You will perform routine assignments and leverage customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in your daily work.</li>\n<li>Utilize basic knowledge of programming, ETL and modeling methods to execute projects and assist the team through examples of good technical skills.</li>\n<li>Execute on low-complexity business challenges involving data science.</li>\n<li>Succeed in projects by utilizing a data science vision for project success, and accomplish successfully within prescribed timelines.</li>\n<li>Execute on routine projects with a sense of urgency.</li>\n<li>Contribute to development of presentations.</li>\n<li>Occasionally communicate complex technical material understandable to non-technical associates.</li>\n<li>Execute basic to intermediate model deployments via established MLOps techniques.</li>\n<li>Work with analytics and IT teams to deploy models/rules.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>1+ years of experience working in a Data environment</li>\n<li>Basic knowledge of data analysis, manipulation tools such as Python.</li>\n<li>Understanding on statistics in modeling side.</li>\n<li>Strong verbal communication and listening skills.</li>\n<li>Demonstrated written communication skills.</li>\n<li>Demonstrated time management and priority setting skills. with some guidance.</li>\n<li>Developing ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs with guidance.</li>\n<li>Able to adapt quickly to new technologies.</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Proficiency working on large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source cloud-enabled analytical programming languages.</li>\n<li>Basic proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.</li>\n<li>Conceptual knowledge of ML/AI model deployment best practices.</li>\n<li>Conceptual knowledge of coding standards and version control (Git).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package.</p>\n<ul>\n<li>A competitive salary and performance-based bonuses.</li>\n<li>Comprehensive benefits package.</li>\n<li>Flexible work arrangements (remote and/or office-based).</li>\n<li>You will also enjoy a dynamic and inclusive work culture within a globally renowned group.</li>\n<li>Private Health Insurance.</li>\n<li>Paid Time Off.</li>\n<li>Training &amp; Development opportunities in partnership with renowned companies.</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_aa84bec4-daf","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/bv45QMsdbwLaQwGHc8tCA4/remote-fbs-associate-data-scientist-in-mexico-at-capgemini","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data analysis","Python","statistics","verbal communication","written communication","time management","data extraction","data manipulation","data design"],"x-skills-preferred":["large-scale data","predictive modeling","prescriptive modeling","ML/AI model deployment","coding standards","version control"],"datePosted":"2026-03-09T17:00:59.173Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data analysis, Python, statistics, verbal communication, written communication, time management, data extraction, data manipulation, data design, large-scale data, predictive modeling, prescriptive modeling, ML/AI model deployment, coding standards, version control"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7cdf7623-ced"},"title":"Growth - Emails, Notifications and Lifecycle","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About The Team</strong></p>\n<p>The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of surface optimizations, in-product funnel improvements, actionable insights, disciplined experimentation, global performance marketing, and AI-powered workflows.</p>\n<p><strong>About The Role</strong></p>\n<p>We are seeking a full-funnel ‘growth athlete’ with deep expertise in email, notifications, and lifecycle growth initiatives. You will design and scale this motion and associated campaigns across ChatGPT user journeys with rigorous analytical thinking and high-velocity experimentation. This team thrives on rapid testing, precise measurement, and creative problem solving, always keeping user value at the center of our decision-making.</p>\n<p>You will own email/notification/lifecycle growth programs end-to-end—from strategy and creative development to deployment, measurement, and iteration. This role is highly cross-functional and will require close collaboration with engineering, product, data science, and design teams to drive engagement, retention, and monetization through these growth levers.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, launch, and optimize global lifecycle tests and programs (email, push notifications, in-app messaging) to drive activation, engagement, and retention across B2C and B2B segments.</li>\n</ul>\n<ul>\n<li>Own end-to-end messaging strategy, including audience segmentation, personalized journeys, channel selection, and timing to maximize conversion and long-term value.</li>\n</ul>\n<ul>\n<li>Develop testing roadmaps for lifecycle campaigns, running A/B and multivariate experiments to improve open rates, click-through rates, and downstream metrics such as paid conversion, DAU/WAU impact, and LTV.</li>\n</ul>\n<ul>\n<li>Partner with product and engineering to enhance messaging infrastructure (event triggers, experimentation tools, data pipelines) and enable sophisticated targeting and automation.</li>\n</ul>\n<ul>\n<li>Build and maintain funnel performance dashboards to surface opportunities and guide prioritization.</li>\n</ul>\n<ul>\n<li>Collaborate with creative and design teams to craft compelling copy and visuals that reinforce ChatGPT’s brand and value proposition while driving measurable outcomes.</li>\n</ul>\n<ul>\n<li>Leverage AI-powered workflows to personalize communications at scale, using predictive models to optimize content, timing, and delivery.</li>\n</ul>\n<ul>\n<li>Partner with data science to develop attribution models and measure the incremental impact of these growth levers. Share these learnings with the broader organization.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>8+ years of growth experience spanning both consumer (B2C) and business (B2B) products, with a track record of scaling email, push, and in-app messaging platforms and growth initiatives driving activation, engagement, and paid conversion.</li>\n</ul>\n<ul>\n<li>Deep expertise in audience segmentation, targeting, and multi-channel orchestration (email, push, in-app, SMS) across self-serve consumer funnels and multi-stakeholder B2B purchase journeys.</li>\n</ul>\n<ul>\n<li>Hands-on experience with automation, email, and messaging platforms (e.g., SendGrid, Braze, Iterable, [Customer.io](http://customer.io/), Marketo) and comfort working with APIs, event triggers, and CRM data.</li>\n</ul>\n<ul>\n<li>Proven ability to design and interpret experimentation and measurement frameworks—A/B tests, multivariate testing, and incrementality studies—to optimize lifecycle touchpoints across different customer types.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with the ability to model consumer funnels and lead-to-customer pipelines, leveraging data to identify growth opportunities and measure impact.</li>\n</ul>\n<ul>\n<li>Demonstrated success collaborating cross-functionally with product, engineering, design, sales, and analytics teams to build scalable lifecycle programs and nurture both individual users and enterprise accounts.</li>\n</ul>\n<ul>\n<li>Ability to balance strategic planning with tactical execution—from high-level journey mapping/opportunity sizing to writing copy, QAing campaigns, and optimizing workflows directly in messaging platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with AI-powered personalization/workflows and predictive modeling is a strong plus.</li>\n</ul>\n<ul>\n<li>A test-and-learn mindset and comfort operating in a fast-paced, highly iterative environment.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct impact on your ability to perform the job safely and effectively, and we will consider this in our hiring process.</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_7cdf7623-ced","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/8e146ecb-2bc4-406e-843d-b4b5a8dc09ef","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$239K – $265K • Offers Equity","x-skills-required":["email","notifications","lifecycle growth initiatives","audience segmentation","personalized journeys","channel selection","timing","conversion","long-term value","A/B testing","multivariate testing","incrementality studies","APIs","event triggers","CRM data","data pipelines","AI-powered workflows","predictive modeling"],"x-skills-preferred":["automation","email and messaging platforms","APIs","event triggers","CRM data","data pipelines","AI-powered workflows","predictive modeling"],"datePosted":"2026-03-08T22:16:21.032Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"email, notifications, lifecycle growth initiatives, audience segmentation, personalized journeys, channel selection, timing, conversion, long-term value, A/B testing, multivariate testing, incrementality studies, APIs, event triggers, CRM data, data pipelines, AI-powered workflows, predictive modeling, automation, email and messaging platforms, APIs, event triggers, CRM data, data pipelines, AI-powered workflows, predictive modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":239000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_38eecd1a-703"},"title":"Data Scientist","description":"<p><strong>Data Scientist</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Strategic Finance</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.</p>\n<p><strong>About the Role</strong></p>\n<p>As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.</p>\n<p>This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.</p>\n<p>This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.</li>\n</ul>\n<ul>\n<li>Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.</li>\n</ul>\n<ul>\n<li>Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.</li>\n</ul>\n<ul>\n<li>Automate standardized reporting and analysis by building data products or agentic solutions.</li>\n</ul>\n<ul>\n<li>Support product pricing and other business decisions with ad hoc analysis.</li>\n</ul>\n<ul>\n<li>Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.</li>\n</ul>\n<ul>\n<li>Manage and lead cross-functional data science projects end-to-end.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.</li>\n</ul>\n<ul>\n<li>Proficiency in Python, SQL, Tableau, and other analytical tools.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and experience working with large, complex data sets.</li>\n</ul>\n<ul>\n<li>Proven ability to distill complex data into actionable insights for leadership.</li>\n</ul>\n<ul>\n<li>Ability to independently initiate and complete projects, owning them end-to-end.</li>\n</ul>\n<ul>\n<li>Excellent communication and storytelling skills when presenting data insights.</li>\n</ul>\n<ul>\n<li>Exceptional attention to detail and a commitment to accuracy.</li>\n</ul>\n<p><strong>You could be an especially great fit if:</strong></p>\n<ul>\n<li>You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.</li>\n</ul>\n<ul>\n<li>You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.</li>\n</ul>\n<ul>\n<li>You’re passionate about technology and artificial intelligence.</li>\n</ul>\n<ul>\n<li>You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.</p>\n<p>As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.</p>\n<p>We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.</p>\n<p>Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.</p>\n<p>You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.</p>\n<p>This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.</li>\n</ul>\n<ul>\n<li>Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.</li>\n</ul>\n<ul>\n<li>Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.</li>\n</ul>\n<ul>\n<li>Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.</li>\n</ul>\n<ul>\n<li>Research and evaluate emerging tools and techniques in the forecasting space.</li>\n</ul>\n<ul>\n<li>Translate technical outputs into business-aligned recommendations and decision frameworks.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Extensive experience building production-ready models for time series applications.</li>\n</ul>\n<ul>\n<li>Proven track record of building adjustable and explainable forecast models for multiple planning cycles.</li>\n</ul>\n<ul>\n<li>10+ years of applied data science &amp; engineering experience, with deep hands-on expertise in forecasting and predictive modeling.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.</li>\n</ul>\n<ul>\n<li>Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.</li>\n</ul>\n<ul>\n<li>Team leadership experience with a track record of building high-performing, engaged teams.</li>\n</ul>\n<ul>\n<li>An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).</li>\n</ul>\n<ul>\n<li>A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.</li>\n</ul>\n<ul>\n<li>The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes</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_ba088e44-4e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/154756ce-294f-49d6-a362-80ff96c01a3f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$440K – $490K","x-skills-required":["Time series forecasting","Predictive modeling","Machine learning","Data science","Statistics","Computer science","Economics","Operations research","Team leadership","Communication","Storytelling"],"x-skills-preferred":["Cloud computing","Big data","Data engineering","DevOps","Agile development","Scrum","Kanban"],"datePosted":"2026-03-06T18:30:15.903Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Time series forecasting, Predictive modeling, Machine learning, Data science, Statistics, Computer science, Economics, Operations research, Team leadership, Communication, Storytelling, Cloud computing, Big data, Data engineering, DevOps, Agile development, Scrum, Kanban","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":440000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_331a8e82-0ec"},"title":"Applied Data Science & Machine Learning Leader - Global Forecasting","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$347K – $490K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. 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Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.</p>\n<p>Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.</p>\n<p>You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.</p>\n<p>This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.</p>\n<p>This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.</li>\n<li>Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.</li>\n<li>Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.</li>\n<li>Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.</li>\n<li>Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.</li>\n<li>Research and evaluate emerging tools and techniques in the forecasting space.</li>\n<li>Translate technical outputs into business-aligned recommendations and decision frameworks.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Extensive experience building production-ready models for time series applications.</li>\n<li>Proven track record of building adjustable and explainable forecast models for multiple planning cycles.</li>\n<li>10+ years of applied data science &amp; engineering experience, with deep hands-on expertise in forecasting and predictive modeling.</li>\n<li>Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.</li>\n<li>Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.</li>\n<li>Team leadership experience with a track record of building high-performing, engaged teams.</li>\n<li>An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).</li>\n<li>A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.</li>\n<li>The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it</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_331a8e82-0ec","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/5d856b70-b7b9-4f03-8a29-748b3d9dc61f","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$347K – $490K","x-skills-required":["Applied Data Science","Machine Learning","Forecasting","Predictive Modeling","Time Series Analysis","Data Science","Engineering","Statistics","Computer Science","Economics","Operations Research"],"x-skills-preferred":["Leadership","Communication","Storytelling","Team Management","Project Management","Data Visualization","Machine Learning Engineering","Cloud Computing","Big Data","Data Warehousing"],"datePosted":"2026-03-06T18:27:10.505Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Applied Data Science, Machine Learning, Forecasting, Predictive Modeling, Time Series Analysis, Data Science, Engineering, Statistics, Computer Science, Economics, Operations Research, Leadership, Communication, Storytelling, Team Management, Project Management, Data Visualization, Machine Learning Engineering, Cloud Computing, Big Data, Data Warehousing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":347000,"maxValue":490000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9a056a8-13c"},"title":"Senior Machine Learning Engineer, Engine Optimization - PhD Early Career","description":"<p><strong>Job Posting</strong></p>\n<p><strong>[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career</strong></p>\n<p>San Mateo, CA, United StatesEarly CareerID: 5626</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints.</p>\n<p>This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions.</p>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.</li>\n<li>Design ML models that infer player and interaction patterns for predictive resource management and content delivery.</li>\n<li>Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency.</li>\n<li>Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms.</li>\n<li>Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization.</li>\n<li>Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems.</li>\n<li>A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them.</li>\n<li>A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>As a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on <strong>this page</strong>.</p>\n<p><strong>Salary</strong></p>\n<p>The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p><strong>Work Schedule</strong></p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</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_c9a056a8-13c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7421746","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["applied ML","reinforcement learning","predictive modeling","trajectory prediction","real-time optimization","C++","Python","Go","Java","memory management","threading","OS signals"],"x-skills-preferred":["systems-level concepts","performance-critical systems","gaming","simulation","robotics","mobile environments"],"datePosted":"2026-03-06T14:18:36.559Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied ML, reinforcement learning, predictive modeling, trajectory prediction, real-time optimization, C++, Python, Go, Java, memory management, threading, OS signals, systems-level concepts, performance-critical systems, gaming, simulation, robotics, mobile environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f64758b-4cd"},"title":"Analytical Lead, Pharmaceutical","description":"<p><strong>Summary</strong></p>\n<p>Microsoft Advertising are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.</p>\n<p><strong>About the Role</strong></p>\n<p>As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. 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