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Travel to customers in your region is also required.</p>\n<p>Requirements:</p>\n<ul>\n<li>5+ years in a customer-facing pre-sales, technical architecture, or consulting role</li>\n<li>Experience designing and architecting distributed data systems</li>\n<li>Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R</li>\n<li>Experience supporting Public Sector clients</li>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP</li>\n<li>Expertise in at least one of the following:</li>\n</ul>\n<p>+ Data Engineering technologies (Ex: Spark, Hadoop, Kafka) \t+ Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) \t+ Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)</p>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. 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We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>\n<p>Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.</p>\n<p>Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. 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The Senior Data &amp; Systems Analyst will partner with EHS, engineering, manufacturing, and operations teams to collect, analyze, and visualize EHS related data that drives compliance, risk reduction, and continuous improvement. This role serves as the primary technical resource for the EHS department,owning dashboards, developing the in-house EHS management system, administering the EHS digital toolset, and ensuring data integrity across all safety data streams.</p>\n<p><strong>ABOUT THE JOB</strong></p>\n<p>Beyond analytics, the Senior Data &amp; Systems Analyst will contribute to the development and rollout of corporate EHS initiatives by building scalable tools and automating manual processes. The ideal candidate brings strong programming skills, experience with AI-assisted development tools, and a proactive approach to building systems that enable the EHS team to operate at the speed the business demands. This role reports to the EHS Manager of Enterprise Integration and works closely with site-level EHS teams, engineering stakeholders, and the sustainability function.</p>\n<p>WHAT YOU’LL DO</p>\n<ul>\n<li>Serve as the data and systems administrator for the EHS operations team, including supporting routine communications on safety data trends</li>\n<li>Design, build, and maintain leading indicator dashboards and metric systems used by EHS to visualize data and safety trends for Anduril leadership</li>\n<li>Develop and administer the in-house EHS management system, scoping features, writing code, integrating APIs, and iterating based on user feedback</li>\n<li>Serve as system owner and subject matter expert for the EHS digital toolset including system configuration, permissions, workflows, and data structures</li>\n<li>Train and support end users on new dashboards, tools, and system workflows,including onboarding documentation, troubleshooting, and workflow enhancements</li>\n<li>Build and maintain automated data pipelines (Python, SQL) to collect, clean, and transform EHS data from internal and external sources into analysis-ready datasets</li>\n<li>Leverage AI-assisted development tools (Claude Code, GitHub, etc.) to accelerate system builds, automate repetitive analysis, and prototype new capabilities</li>\n<li>Create data visualizations and executive-ready reports that translate raw safety data into actionable narratives for leadership</li>\n<li>Oversee data quality, including periodic audits and cleanup of records</li>\n<li>Identify patterns, root causes, and improvement opportunities in incident, audit, risk, training, and compliance data</li>\n<li>Identify opportunities to replace manual processes with automated, scalable solutions</li>\n<li>Support environmental sustainability data collection, reporting, and dashboard development including energy consumption, waste diversion, emissions tracking, and compliance with federal sustainability requirements</li>\n</ul>\n<p>REQUIRED QUALIFICATIONS</p>\n<ul>\n<li>3–5 years of experience in a data-focused role (Data Analyst, Analytics Engineer, Data Engineer, BI Developer, or equivalent)</li>\n<li>Proficiency in at least one programming language (Python, R, SQL, or JavaScript) with demonstrated ability to build tools, not just use them</li>\n<li>Hands-on experience building dashboards and data visualizations (Foundry, Tableau, Power BI, Looker, or similar)</li>\n<li>Experience with AI-assisted coding and productivity tools (e.g., Claude Code, GitHub Copilot) and ability to integrate them into daily workflows</li>\n<li>Demonstrated ability to build and maintain internal tools, web apps, or system integrations (APIs, databases, workflow automation)</li>\n<li>Strong data wrangling skills,comfortable cleaning, transforming, and validating messy real-world datasets</li>\n<li>Ability to communicate technical concepts to non-technical stakeholders clearly and concisely</li>\n<li>Must be a U.S. Person due to required access to U.S. export controlled information or facilities</li>\n</ul>\n<p>PREFERRED QUALIFICATIONS</p>\n<ul>\n<li>Experience with EHS information management systems (e.g., VelocityEHS, Intelex, Gensuite)</li>\n<li>Experience with ETL pipelines, data warehousing, or data engineering workflows</li>\n<li>Contributions to open-source projects or a portfolio of personal technical builds</li>\n<li>Collaborative individual who is most comfortable working in a team environment on a shared task</li>\n<li>High energy individual who craves the opportunity to build a system vs just manage one</li>\n<li>Degree in Computer Science, Data Science, Information Systems, Industrial Engineering, or related technical field (or equivalent practical experience)</li>\n</ul>\n<p>US Salary Range $66,000-$88,000 USD</p>\n<p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package.</p>\n<p><strong>Benefits</strong></p>\n<p>At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.</p>\n<p><strong>Protecting Yourself from Recruitment Scams</strong></p>\n<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We’ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<ul>\n<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</li>\n<li>Please always verify communications:</li>\n</ul>\n<p>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</p>\n<p>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency’s authenticity by reaching out to contact@anduril.com.</p>\n<p>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender’s email domain is @anduril.com before providing any personal information or clicking on links.</p>\n<p>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your valuable time and resources.</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_f927c988-74b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5161346007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$66,000-$88,000 USD","x-skills-required":["Python","R","SQL","JavaScript","AI-assisted development tools","data visualization","data wrangling","database administration","workflow automation"],"x-skills-preferred":["ETL pipelines","data warehousing","data engineering workflows","open-source projects","portfolio of personal technical builds"],"datePosted":"2026-06-11T19:03:46.339Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ashville, Ohio"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, R, SQL, JavaScript, AI-assisted development tools, data visualization, data wrangling, database administration, workflow automation, ETL pipelines, data warehousing, data engineering workflows, open-source projects, portfolio of personal technical builds","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":66000,"maxValue":88000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a266b433-b0e"},"title":"Lead Risk Analyst - Model Validation","description":"<p>We&#39;re looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. 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Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.</p>\n<p>Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</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_194bb8c6-f36","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/applied-scientist-11/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"USD $102,100.00 – $202,200.00 per year","x-skills-required":["Machine Learning","Generative AI","Agentic Modeling","Data Science","Python","C#","R","C++","Java","SQL"],"x-skills-preferred":["Large-Scale Model Optimization","Experimental Prompt Tuning","LLMs","SLMs","Qwen","Llama","Mistral","GPT"],"datePosted":"2026-06-11T12:10:55.132Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, Agentic Modeling, Data Science, Python, C#, R, C++, Java, SQL, Large-Scale Model Optimization, Experimental Prompt Tuning, LLMs, SLMs, Qwen, Llama, Mistral, GPT","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":102100,"maxValue":202200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_697f8cd4-f36"},"title":"Principal, Healthcare Data (Commercial)","description":"<p>We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map , the industry’s largest, most complete, precise view of the U.S. healthcare system , by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviours and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease , and enjoy the journey along the way. The Opportunity at Komodo Health The Data Product team is responsible for developing and evolving the core data asset that powers Komodo Health’s application suite, our Healthcare Map. Serving as the foundation of the company’s offerings, the team transforms complex healthcare data into scalable, high-quality products that enable meaningful insights for life sciences and healthcare stakeholders. The Data Principal acts as the primary evangelist of Komodo’s data, partnering directly with our highest-value customers to accelerate their adoption of our products and realise value from them in their existing workflows. Key responsibilities include empowering users using our data, enabling advanced analytic use cases and designing solutions to address emerging business questions. As a key voice of the customer, the Data Principal will also synthesise market feedback and unmet needs back to internal teams to inform ongoing product development and strategy. ** This is an individual contributor role. Looking back on your first 12 months at Komodo Health, you will have…</p>\n<ul>\n<li>Proactive Relationship Building: Established trust with key clients by empowering their ability to execute impactful, data-driven insights.</li>\n<li>Accelerated Time-to-Value: Served as a thought-partner to our customers, demonstrating understanding of their needs and how that translates to Komodo’s products.</li>\n<li>Scalable Solutioning: Developed analytical frameworks, interactive visualisations, documentation and/or other materials to standardise how customers understand Komodo’s data.</li>\n</ul>\n<p>You will accomplish these outcomes through the following responsibilities…</p>\n<ul>\n<li>Strategic Onboarding: Lead the discovery phase for high-value clients, ensuring they understand Komodo’s data differentiation in the market and its influence on our data products.</li>\n<li>Use Case Architecture: Consult on complex analytical queries (e.g., patient longitudinal studies, provider segmentation) to ensure customers get accurate results.</li>\n<li>Analytical Support &amp; Tooling: Build and maintain helper scripts, documentation, and visualisations that support analytic generation for customers.</li>\n<li>Cross-Functional Advocacy: Synthesise technical challenges faced by customers and present them to product teams to influence the enhancement of our data products.</li>\n</ul>\n<p>What you bring to Komodo Health:</p>\n<ul>\n<li>Minimum seven (7) years experience in data analytics, management consulting or similar roles within the healthcare space (specific market segments of interest are RWE/HEOR, Commercial Life Sciences, or Payer/Provider).</li>\n<li>Previous experience working with claims-based or similar datasets.</li>\n<li>Proven ability to partner directly with customers, building trusted relationships while translating customer questions and challenges into clear analytical approaches and actionable recommendations.</li>\n<li>Demonstrated ability to translate complex concepts to both technical and non-technical audiences.</li>\n<li>Strong critical thinking and problem-solving abilities. Proactive, curious, and impact-oriented mindset.</li>\n<li>Skilled at cultivating trusted relationships across teams.</li>\n</ul>\n<p>Expectations of AI Use in this role (required):</p>\n<ul>\n<li>Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualisation creation.</li>\n</ul>\n<p>Additional skills and experience we’d prioritise (nice to have):</p>\n<ul>\n<li>Degree in statistics, math, economics or other quantitative fields.</li>\n<li>Expertise in SQL, Python, or R to query and model longitudinal patient data.</li>\n<li>Experience interacting with, managing, or building with AI agentic workflows.</li>\n</ul>\n<p>#LIRemote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City:$193,000-$230,000 USD All Other US Locations: $168,000-$200,000 USD Komodo&#39;s AI Standard At Komodo, we&#39;re not just witnessing the AI revolution – we&#39;re leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We&#39;ve already established industry leadership in leveraging AI to revolutionise healthcare, and we expect every team member to contribute. AI here isn’t optional; it’s foundational. We expect you to integrate AI into your daily work – from summarising documents to automating workflows and uncovering insights. This isn’t just about efficiency; it’s about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary , some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we’re building intentional in-office rhythms alongside the flexibility that’s core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors. This notice explains how we collect, use, and retain applicant data.</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_697f8cd4-f36","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/8584632002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$168,000-$200,000 USD","x-skills-required":["data analytics","management consulting","healthcare space","claims-based datasets","AI tools","Gemini","Claude","Cursor","SQL","Python","R","longitudinal patient data"],"x-skills-preferred":["statistics","math","economics","quantitative fields","expertise in SQL","experience interacting with","managing","building with AI agentic workflows"],"datePosted":"2026-06-10T21:02:20.963Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"data analytics, management consulting, healthcare space, claims-based datasets, AI tools, Gemini, Claude, Cursor, SQL, Python, R, longitudinal patient data, statistics, math, economics, quantitative fields, expertise in SQL, experience interacting with, managing, building with AI agentic workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":168000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7168f9ee-425"},"title":"FP&A Manager","description":"<p>About Crossbeam</p>\n<p>The highest-performing go-to-market teams have figured out how to turn their partner ecosystem into a revenue engine, and Crossbeam is the platform that makes that possible. Companies use Crossbeam to securely compare CRM data with partners, revealing shared customers, overlapping prospects, and warm paths into deals.</p>\n<p>About the role</p>\n<p>We&#39;re hiring an FP&amp;A Manager to work directly with the COO and the Director of Accounting. You&#39;ll own the financial and operational reporting that leadership and the board rely on, run the budget cycle, and partner with Revenue on the two mechanisms that shape our growth engine: commissions and deal desk.</p>\n<p>This is a high-visibility role. You&#39;ll present to the executive team, work alongside the COO on strategic finance projects, and have direct influence on how we forecast, pay, and price. You&#39;ll also be expected to continuously improve how Finance operates , using AI and automation to eliminate manual work and make the function faster, sharper, and more scalable.</p>\n<p><strong>What you&#39;ll own</strong></p>\n<p>Reporting , financial and operational</p>\n<ul>\n<li>Monthly financial reporting package: P&amp;L, cash, SaaS metrics, variance analysis</li>\n</ul>\n<ul>\n<li>Operational reporting: ARR tracker, pipeline health, productivity and efficiency KPIs</li>\n</ul>\n<ul>\n<li>Salesforce-based reporting , you&#39;ll build and maintain reports and dashboards used by Finance and Revenue leadership</li>\n</ul>\n<ul>\n<li>Board deck financial section and the monthly investor update inputs</li>\n</ul>\n<p>Budget and forecast</p>\n<ul>\n<li>Own the annual planning cycle end-to-end, working with each department head</li>\n</ul>\n<ul>\n<li>Run quarterly reforecasts, track actuals vs. plan, flag risks early</li>\n</ul>\n<ul>\n<li>Maintain the top-down financial model (ARR, headcount, OpEx, cash runway)</li>\n</ul>\n<p>Commission tracking</p>\n<ul>\n<li>Partner with RevOps on commission plan design and changes</li>\n</ul>\n<ul>\n<li>Run monthly commission calculations and resolve disputes</li>\n</ul>\n<ul>\n<li>Coordinate with Accounting on payout processing</li>\n</ul>\n<p>Deal desk support</p>\n<ul>\n<li>Review non-standard pricing and commercial terms</li>\n</ul>\n<ul>\n<li>Partner with RevOps and Legal on deal structure, approvals, and exception tracking</li>\n</ul>\n<ul>\n<li>Build pricing guardrails and escalation paths</li>\n</ul>\n<p>Process optimization and AI leverage</p>\n<ul>\n<li>Continuously improve how Finance operates: challenge existing processes, eliminate manual work, and redesign workflows around AI and automation</li>\n</ul>\n<ul>\n<li>Build and maintain internal Claude skills for recurring Finance tasks (reporting, reconciliations, commission checks, variance analysis)</li>\n</ul>\n<ul>\n<li>Partner with our Ops team on n8n workflows connecting Salesforce, Rillet, Maxio, and Google Sheets</li>\n</ul>\n<ul>\n<li>Set the standard for an AI-native Finance function , your time should be spent on judgment, not data wrangling</li>\n</ul>\n<p><strong>What we&#39;re looking for</strong></p>\n<ul>\n<li>&gt;3 years in FP&amp;A, ideally including time at a B2B SaaS company. Background in consulting will be also appreciated</li>\n</ul>\n<ul>\n<li>Strong financial modeling skills: you can build a working model from scratch, not just update someone else&#39;s</li>\n</ul>\n<ul>\n<li>Commercial mindset: you enjoy partnering with Revenue, not just reporting on them</li>\n</ul>\n<ul>\n<li>Fluency with AI tools in a professional context. You&#39;ve used AI tools to accelerate your own work, and you can point to processes you&#39;ve redesigned or automated. You see AI as a lever, not a threat</li>\n</ul>\n<ul>\n<li>Comfortable with Salesforce reporting, spreadsheets at depth, and modern finance tooling</li>\n</ul>\n<ul>\n<li>Clear, structured written communication: you&#39;ll be presenting to the exec team regularly</li>\n</ul>\n<ul>\n<li>Fluency in English mandatory</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Experience building internal automations (Claude skills, n8n, Zapier, or similar)</li>\n</ul>\n<ul>\n<li>Experience with SaaS accounting, commission plans and deal desk processes</li>\n</ul>\n<ul>\n<li>Prior exposure to board reporting and investor updates</li>\n</ul>\n<ul>\n<li>Working proficiency in French and English</li>\n</ul>\n<p><strong>Why this role</strong></p>\n<ul>\n<li>Direct exposure. You&#39;ll work with the COO daily and the broader exec team weekly</li>\n</ul>\n<ul>\n<li>Small, senior team. Finance is three people today. You&#39;re the fourth, and the first dedicated FP&amp;A hire</li>\n</ul>\n<ul>\n<li>Real ownership. Budget, commissions, deal desk, board reporting: all yours from day one</li>\n</ul>\n<ul>\n<li>AI-native by default. Claude is deployed across Crossbeam, and Finance is one of the heaviest-leverage use cases. You&#39;ll inherit a working foundation (ARR tracker, renewal tracker, SFDC query skills, n8n workflows) and have a clear mandate to push it further</li>\n</ul>\n<p><strong>Compensation and benefits</strong></p>\n<ul>\n<li>Competitive base salary and equity</li>\n</ul>\n<ul>\n<li>Flexible remote work</li>\n</ul>\n<p><strong>Recruitment process</strong></p>\n<ul>\n<li>Initial HR Screen , 30 minutes: A video call with the People team to discuss your background, commercial mindset, and alignment with Crossbeam’s mission</li>\n</ul>\n<ul>\n<li>Hiring Manager Interview with COO, 30 minutes: A deep dive into your technical FP&amp;A experience, including financial modeling and SaaS metrics, with the COO or Director of Accounting</li>\n</ul>\n<ul>\n<li>Director of Accounting , 30 minutes: Assess technical accounting fluency, cross-functional working style between Finance and Accounting, and operational rigor on commissions and close processes</li>\n</ul>\n<ul>\n<li>On-site Executive Panel: A final meeting at the office with the President and core team to assess cultural fit and strategic vision</li>\n</ul>\n<p><strong>Our Core Values</strong></p>\n<p>Values are a social contract that we have with our team, our users, and our communities. They are guiding lights as well as argument-enders, and we expect results delivered in a way that is consistent with these values.</p>\n<p>Trust is our Foundation</p>\n<p>We create value by building trust in our company, our team, and our technology. That goes in all directions, not just between us and our customers but also amongst ourselves. We approach conflict with empathy and curiosity, and ascribe best intentions to all of our collaborators.</p>\n<p>Work Hard and Smart</p>\n<p>This is a startup, and we will act like one. We prioritize impact, take personal ownership of outcomes, act decisively, and get our hands dirty in the process. We communicate clearly, avoid over-engineering, and take risks. This allows us to be creative, innovative, and solution-oriented.</p>\n<p>Default to Transparency</p>\n<p>We will not succeed in information silos. We share the good, bad, and ugly about what is happening in our company, which requires us to pay attention, always measure what matters, and hold each other accountable.</p>\n<p>Belonging</p>\n<p>In our workplaces, communities, and ecosystems, we shape environments where people feel a sense of belonging. To do this, we work to ensure that stakeholders of all backgrounds are treated equitably and experience psychological and physical safety. This is key to their relationship with our company, their access to opportunities, and their ability to thrive.</p>\n<p>Treasure the Fun</p>\n<p>We are incredibly lucky to be here , let’s make memories. We will all spend that extra bit of time and energy to energize each other with fun and inspiring experiences. This applies internally and externally, from the smallest interactions to the largest events.</p>\n<p>You’ll do great if you:</p>\n<ul>\n<li>Take ownership without waiting for permission</li>\n</ul>\n<ul>\n<li>Ask “what’s actually needed?” instead of defaulting to precedent</li>\n</ul>\n<ul>\n<li>Use AI as leverage to clarify thinking, improve communication, synthesize information, and accelerate execution</li>\n</ul>\n<ul>\n<li>Actively seek out and act on feedback to raise your own bar</li>\n</ul>\n<ul>\n<li>Dig until you understand the real problem, not just the surface request</li>\n</ul>\n<ul>\n<li>Make those around you more effective</li>\n</ul>\n<p>You’ll get:</p>\n<ul>\n<li>Collaborative teammates and a culture built on trust and accountability</li>\n</ul>\n<ul>\n<li>Competitive compensation and equity</li>\n</ul>\n<ul>\n<li>Comprehensive healthcare coverage for you and your family</li>\n</ul>\n<ul>\n<li>Remote-flexible with access to co-working spaces in your area</li>\n</ul>\n<ul>\n<li>Learning, wellness, and WFH stipends</li>\n</ul>\n<ul>\n<li>Flexible time off</li>\n</ul>\n<ul>\n<li>Paid parental leave</li>\n</ul>\n<ul>\n<li>…and more!</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_7168f9ee-425","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Crossbeam","sameAs":"https://crossbeam.com/","logo":"https://logos.yubhub.co/crossbeam.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/crossbeam/jobs/6018214004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive base salary and equity","x-skills-required":["Financial modeling","Accounting","Commission tracking","Budgeting","Forecasting","Financial analysis","Data analysis","Excel","SQL","Power BI","Tableau","Cloud finance","AI","Automation","Machine learning"],"x-skills-preferred":["Python","R","Java","C++","JavaScript","Cloud computing","DevOps","Cybersecurity","Data science","Business intelligence","Marketing analytics","Salesforce","Google Analytics","Microsoft Dynamics","Oracle","SAP"],"datePosted":"2026-06-10T19:07:18.943Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Financial modeling, Accounting, Commission tracking, Budgeting, Forecasting, Financial analysis, Data analysis, Excel, SQL, Power BI, Tableau, Cloud finance, AI, Automation, Machine learning, Python, R, Java, C++, JavaScript, Cloud computing, DevOps, Cybersecurity, Data science, Business intelligence, Marketing analytics, Salesforce, Google Analytics, Microsoft Dynamics, Oracle, SAP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_81c0834a-dca"},"title":"Business Intelligence Analyst","description":"<p>The Business Intelligence Analyst will be responsible for designing, developing and maintaining interactive and informative dashboards and reports using Microsoft Power BI. The ideal candidate should have a strong background in data analysis, report generation, and a deep understanding of business intelligence concepts. This role requires collaboration with various departments to gather requirements and ensure the effective use of Power BI and other ABM &amp; third-party platforms to meet &amp; align operational demands &amp; other innovations.</p>\n<p>Main Duties:</p>\n<ul>\n<li>Design, develop, and maintain Power BI and other dashboards and reports to provide actionable insights for business stakeholders.</li>\n</ul>\n<ul>\n<li>Data Modelling: Create and maintain efficient data models, including data cleaning, transformation, and aggregation.</li>\n</ul>\n<ul>\n<li>Data Integration: Integrate data from various sources, including databases, cloud services, and APIs, ensuring data accuracy and consistency.</li>\n</ul>\n<ul>\n<li>Requirement Gathering: Collaborate and align with business users, clients and third party service partners to understand their needs and translate them into technical requirements and dashboard solutions.</li>\n</ul>\n<ul>\n<li>Performance Optimisation: Optimise the performance of Power BI reports and dashboards, ensuring quick load times and responsive interactions.</li>\n</ul>\n<ul>\n<li>User Training and Support: Provide training and support to end-users on all platforms, functionalities and best practices.</li>\n</ul>\n<ul>\n<li>Documentation: Maintain comprehensive documentation for Power BI solutions, including data models, reports, and dashboards.</li>\n</ul>\n<ul>\n<li>Stay Updated: Keep up to date with the latest Power BI features, tools, industry innovations and best practices to continuously improve reporting, analytics capabilities and client experience.</li>\n</ul>\n<p>Desired Experience:</p>\n<p>Experience:</p>\n<ul>\n<li>Education: Level 4 Data Analyst apprenticeship or equivalent.</li>\n</ul>\n<ul>\n<li>Experience: Minimum of 2 years of experience in business intelligence and data analytics, with a strong focus on Power BI, dashboards within a client environment</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li>Proficiency in Microsoft Power BI, including DAX and Power Query.</li>\n</ul>\n<ul>\n<li>Experience with SQL and relational databases.</li>\n</ul>\n<ul>\n<li>Knowledge of data warehousing concepts and ETL processes.</li>\n</ul>\n<ul>\n<li>Knowledge of Microsoft Power Platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with other Microsoft BI tools, such as SSRS, SSIS, and SSAS, is a plus.</li>\n</ul>\n<p>Soft Skills:</p>\n<ul>\n<li>Strong analytical and problem-solving skills.</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills including senior client levels</li>\n</ul>\n<ul>\n<li>Ability to work independently and as part of a team.</li>\n</ul>\n<ul>\n<li>Strong attention to detail and commitment to delivering high-quality work.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Certifications: Microsoft Certified: Data Analyst Associate or similar certifications.</li>\n</ul>\n<ul>\n<li>Experience: Experience in Facilities Management Industry is a plus.</li>\n</ul>\n<ul>\n<li>Additional Skills: Familiarity with other data visualization tools and programming languages such as Python or R.</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_81c0834a-dca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ABM UK","sameAs":"https://www.abm.com/","logo":"https://logos.yubhub.co/abm.com.png"},"x-apply-url":"https://jobs.workable.com/view/u8Z5kQbJxNr9B9wTNFngNF/business-intelligence-analyst-in-london-at-abm-uk?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£45,000 per annum","x-skills-required":["Microsoft Power BI","DAX","Power Query","SQL","relational databases","data warehousing concepts","ETL processes","Microsoft Power Platforms","SSRS","SSIS","SSAS"],"x-skills-preferred":["Python","R"],"datePosted":"2026-06-10T16:04:46.613Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Facilities Management","skills":"Microsoft Power BI, DAX, Power Query, SQL, relational databases, data warehousing concepts, ETL processes, Microsoft Power Platforms, SSRS, SSIS, SSAS, Python, R","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":45000,"maxValue":45000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f4f47f3a-3f7"},"title":"Data Scientist","description":"<p>Join Aristocrat, a leader in the entertainment and gaming industry, as an Advanced Insights Data Scientist. 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We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.</p>\n<p>Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That&#39;s where Global Data Insight &amp; Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods.</li>\n<li>Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop machine learning algorithms, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford.</li>\n<li>Evaluate large, complex data sets using tools, including SQL, Hadoop, Alteryx, Python, R, and sophisticated statistical and machine learning techniques, to develop solutions for real world, non-routine, large-scale analytics problems.</li>\n<li>Develop and deliver business solutions using skills, such as data acquisition, data engineering, programming, and visualization, as well as design intuitive visual interfaces for users to interact with data.</li>\n<li>Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development.</li>\n<li>Interpret modelling results and communicate them to technical and non-technical audiences, cross functional teams, and leadership.</li>\n<li>Ensure the overall quality of the data solutions throughout the analytic development process.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Statistics, Chemistry or a related field and 2 years of experience in the job offered or related occupation.</li>\n<li>2 years of experience with each of the following skills is required:</li>\n</ul>\n<p>+ Develop machine learning algorithm for business requirements using PySpark.   + Natural language processing from pure text data, for pattern recognition or predictive analytics to help supply chain group to predict future trends and make more informed business decisions.   + Design proper algorithm and develop or refine analytical models using at least 5 of the following skills: linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, or random forest.</p>\n<ul>\n<li>1 year of experience with each of the following skills is required:</li>\n</ul>\n<p>+ Perform Data modelling and Optimization by Formulating and translating detailed business cases into mathematical/statistical problems with mathematical abstractions, and appropriate analytical optimization models.   + Translation of automotive business problems into appropriate mathematical representations, predictive and optimization models.   + Python Statistical software packages.   + Using SQL and Python for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges.   + Working in a connected vehicle environment, experience with VIN-related vehicle attributes and Hands-free driving analytics including vehicle state, weather, terrain, and even road features with connected vehicle sensors.</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_51d87a62-273","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65273?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$66,102.00 - $186,624.00/yr","x-skills-required":["SQL","Hadoop","Alteryx","Python","R","PySpark","Natural Language Processing","Machine Learning","Linear Regression","Logistic Regression","Generalized Linear Regression","Time Series Forecasting Models","Decision Tree","Regression Tree","Random Forest","Data Modelling","Optimization","Python Statistical Software Packages","SQL and Python for Data Wrangling"],"x-skills-preferred":[],"datePosted":"2026-06-10T11:12:55.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn, MI"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"SQL, Hadoop, Alteryx, Python, R, PySpark, Natural Language Processing, Machine Learning, Linear Regression, Logistic Regression, Generalized Linear Regression, Time Series Forecasting Models, Decision Tree, Regression Tree, Random Forest, Data Modelling, Optimization, Python Statistical Software Packages, SQL and Python for Data Wrangling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":66102,"maxValue":186624,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b06963fa-0e8"},"title":"Compensation Partner","description":"<p>JOB TITLE: Compensation Partner LOCATION: United States DEPARTMENT: Compensation</p>\n<p>The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company.</p>\n<p>The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource.</p>\n<p>Your Expertise:</p>\n<ul>\n<li>8+ years of compensation or analytics experience with depth in technical roles and familiarity with the AI/ML talent market.</li>\n<li>Advanced analytical skills including proficiency in Excel and working knowledge of SQL, Python, or R for data analysis and tool development.</li>\n<li>Proven track record as a compensation business partner for a technical or engineering organization, including ownership of cyclical programs end-to-end.</li>\n</ul>\n<p>How We&#39;ll Take Care of You: 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. 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And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map , the industry’s largest, most complete, precise view of the U.S. healthcare system , by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviours and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.</p>\n<p>The Opportunity at Komodo Health</p>\n<p>The Analytics &amp; Insights team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making. 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Supporting proof-of-concept developments to evaluate new tools and frameworks for automation efficiency.</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_f95b87a5-cd9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Aristocrat","sameAs":"https://www.aristocrat.com/","logo":"https://logos.yubhub.co/aristocrat.com.png"},"x-apply-url":"https://aristocrat.wd3.myworkdayjobs.com/en-US/AristocratExternalCareersSite/job/Noida-UP-IN/Tech-Lead---Python-Developer_R0021532?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Blue Prism","Power Automate","Co Pilot Studio","AI Tools","Gemini","OpenAI","Snowflake Cortex"],"x-skills-preferred":["R","SQL","Java","C++","C#","HTML","Selenium","CoPilot Studio","Snowflake","PowerBI","IPA","Anaplan","Microsoft Dynamics 365"],"datePosted":"2026-06-09T13:06:06.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida, UP"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Blue Prism, Power Automate, Co Pilot Studio, AI Tools, Gemini, OpenAI, Snowflake Cortex, R, SQL, Java, C++, C#, HTML, Selenium, CoPilot Studio, Snowflake, PowerBI, IPA, Anaplan, Microsoft Dynamics 365"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a8f920e8-194"},"title":"AI Engineer","description":"<p>This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.</p>\n<p>As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science, MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and implement AI/ML models and algorithms to solve complex problems.</li>\n<li>Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.</li>\n<li>Train, evaluate, and tune various machine learning models.</li>\n<li>Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li>\n<li>Document code, experiments, and results clearly and concisely.</li>\n<li>Collaborate effectively with other engineers within the team.</li>\n</ul>\n<p>Qualifications: The minimum requirements we seek:</p>\n<ul>\n<li>Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)</li>\n<li>3+ years of experience of analytical methods and their proper application</li>\n<li>3+ years of experience using AI/ML, data science software (e.g., Python-based tools)</li>\n<li>MUST HAVE experience using Gen AI technologies.</li>\n<li>Experience using Cloud Platforms and AI Platforms.</li>\n</ul>\n<p>Our preferred requirements:</p>\n<ul>\n<li>Working knowledge of GCP.</li>\n<li>Expertise in open-source data science technologies such as Python, R, Spark, SQL.</li>\n<li>Conceptual understanding of data pipelines and MLOps</li>\n</ul>\n<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>\n<p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</p>\n<ul>\n<li>Immediate medical, dental, and prescription drug coverage</li>\n<li>Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more</li>\n<li>Vehicle discount program for employees and family members, and management leases</li>\n<li>Tuition assistance</li>\n<li>Established and active employee resource groups</li>\n<li>Paid time off for individual and team community service</li>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li>\n<li>Paid time off and the option to purchase additional vacation time.</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_a8f920e8-194","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/","logo":"https://logos.yubhub.co/corporate.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/64850?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Science","MLOps","AI/ML Engineering","Python","TensorFlow","PyTorch","scikit-learn","Gen AI technologies","Cloud Platforms","AI Platforms"],"x-skills-preferred":["GCP","open-source data science technologies","R","Spark","SQL","data pipelines"],"datePosted":"2026-06-09T10:13:06.466Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Data Science, MLOps, AI/ML Engineering, Python, TensorFlow, PyTorch, scikit-learn, Gen AI technologies, Cloud Platforms, AI Platforms, GCP, open-source data science technologies, R, Spark, SQL, data pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_719a38e4-fd8"},"title":"Market Risk Operations Specialist","description":"<p>Market Risk Operations Specialist Job Function Summary</p>\n<p>The Risk Operations Specialist is a crucial role for supporting firm wide Risk and Controls infrastructure and functions overseeing the firm’s trading operations. Successful candidate will bring strong technical background from the areas of Finance, Market Risk and Technology and apply data analytics, quantitative methods and functional expertise to enhance and improve data quality, reporting, operational processes and controls. The role will contribute to and potentially lead team projects therefore must be comfortable working in fast paced and deadline sensitive environment. This position has a global focus and requires frequent collaboration with key internal and external stakeholders thereby providing broader perspective of the market risk, controls and financial regulatory regimes.</p>\n<p>Principal Responsibilities</p>\n<ul>\n<li>Collaborate with various functions across Core Operations, Middle Office, Market Risk, Finance, Treasury, Technology, Legal and Compliance globally to design, develop, maintain and enhance preventive controls and data governance frameworks.</li>\n</ul>\n<ul>\n<li>Have a strong understanding of financial derivatives, market risk models and risk metrics such as VAR, Greeks, credit and interest rate spreads, DV01 etc. and be able to communicate complex products and concepts in a simple and effective manner to management and various stakeholders.</li>\n</ul>\n<ul>\n<li>Be able to develop deep understanding of firm’s operational trade life cycle functions including trade capture, T0 and T1 confirmation/affirmation, asset servicing, pricing/valuation, pnl calculations, collateral management, financing etc.</li>\n</ul>\n<ul>\n<li>Automate any manual reporting processes to ensure timeliness and accuracy of risk and regulatory reporting globally for end clients using data analytics solutions.</li>\n</ul>\n<ul>\n<li>Create and manage comprehensive quantitative scorecards aligning key performance and risk indicators by asset class, market, broker, trading group, legal entity etc. to assist in strategic decision making.</li>\n</ul>\n<ul>\n<li>Firm-wide consolidation of key regulatory reports for domestic and international regulators.</li>\n</ul>\n<p>Qualifications/Skills Required</p>\n<ul>\n<li>Graduate Degree (MBA, MS or Equivalent) from an accredited university.</li>\n</ul>\n<ul>\n<li>2 - 4 years of experience in financial services; strong knowledge of financial instruments, securities and derivatives.</li>\n</ul>\n<ul>\n<li>Strong knowledge of SQL, VBA and at least one of the analytics programming language such as Python, R, Scala etc.</li>\n</ul>\n<ul>\n<li>Actively pursuing or completed any financial certifications such as CFA, FRM, CPA, Series 7, 63 preferred but not required.</li>\n</ul>\n<ul>\n<li>Highly analytical and strategic thinker; ability to make sense of large amount of data and devise &amp; execute project plans in timely manner.</li>\n</ul>\n<ul>\n<li>Quick learner and has the ability to grasp new concepts and processes quickly.</li>\n</ul>\n<ul>\n<li>Self-starter, solid organizational skills, ability to multitask effectively.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, strong presentation skills.</li>\n</ul>\n<ul>\n<li>Detail-oriented; demonstrable thoroughness and strong ownership of work.</li>\n</ul>\n<ul>\n<li>Strong interpersonal skills; ability to work collaboratively with wider teams internally as well as with external parties.</li>\n</ul>\n<ul>\n<li>Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency to meet tight deadlines.</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_719a38e4-fd8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Middle Office"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755956519757?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","VBA","Python","R","Scala","CFA","FRM","CPA","Series 7","Series 63"],"x-skills-preferred":[],"datePosted":"2026-06-07T13:03:54.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"SQL, VBA, Python, R, Scala, CFA, FRM, CPA, Series 7, Series 63"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da5042c4-336"},"title":"Senior Manager, Insights & Analytics","description":"<p>At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where &#39;Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’.</p>\n<p>There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.</p>\n<p><strong>The Opportunity</strong></p>\n<p>The Senior Manager, Insights &amp; Analytics , Kerendia is an embedded analytics and market research partner within a high-performing, innovation-driven I&amp;A team. This role is responsible for generating and activating insights across secondary data analytics and primary market research , delivering analyses that are clear, timely, and directly connected to Kerendia&#39;s Key Business Questions (KBQs).</p>\n<p>This is a role for someone who thrives on getting into the work: designing and executing analyses independently, synthesizing findings into compelling narratives, and partnering closely with brand stakeholders to turn insights into action.</p>\n<p>You will be part of a team actively redefining what an AI-enabled Insights &amp; Analytics function looks like at scale , and your contributions will shape both the brand and the function.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Be a Trusted, Consultative Insights Partner - Build strong working relationships with brand leadership and cross-functional partners, anticipating insights needs and delivering counsel that informs commercial decisions;</li>\n<li>Translate key business questions into clear analytical frameworks and actionable recommendations;</li>\n<li>Proactively surface opportunities and risks through data mining and market research, connecting findings to brand strategy;</li>\n<li>Challenge assumptions and ensure decisions are grounded in the best available evidence;</li>\n<li>Flex priorities fluidly as the business evolves, bringing urgency and intellectual curiosity to every engagement;</li>\n</ul>\n<p>Execute Integrated Secondary Analytics - Independently design and execute analyses across secondary data sources , including patient-level claims, longitudinal data, and sales/demand data , to deliver a comprehensive view of brand and market performance;</p>\n<ul>\n<li>Conduct patient journey analyses including treatment patterns, adherence, persistence, and days on therapy;</li>\n<li>Support competitive landscape assessments, market sizing, opportunity analyses, situation analyses, and trend identification;</li>\n<li>Develop and maintain KPIs and performance metrics that track brand strategy, tactics, and market dynamics;</li>\n<li>Build and refine analytical workflows, leveraging AI and automation to improve efficiency, standardize reporting, and operationalize scalable outputs in partnership with the Data team;</li>\n</ul>\n<p>Lead Primary Market Research End-to-End - Design and manage primary market research studies , qualitative and quantitative , to address brand KBQs;</p>\n<ul>\n<li>Manage research vendors and agency partners, providing clear direction, maintaining quality standards, and ensuring deliverables are on time and on brief;</li>\n<li>Synthesize primary research findings with secondary data to generate integrated, multi-source insights;</li>\n<li>Translate research outputs into clear, decision-ready recommendations for brand and commercial leadership;</li>\n<li>Develop AI synthetic panels to extend and scale primary market research learning, generating faster directional reads and broader scenario testing while complementing traditional research approaches;</li>\n</ul>\n<p>Adopt and Advance AI-Enabled Ways of Working - Actively integrate AI tools and emerging analytical technologies into day-to-day workflows to generate insights faster and more efficiently;</p>\n<ul>\n<li>Contribute to the team&#39;s broader ambition to lead in building an AI-enabled I&amp;A function , experimenting, learning, and sharing what works;</li>\n<li>Bring a forward-looking mindset to how AI can enhance the quality, speed, and scale of insights generation;</li>\n</ul>\n<p>Support Data Strategy and Stewardship - Collaborate with the Data team on data acquisition priorities and stewardship practices;</p>\n<ul>\n<li>Own business rules for brand-centric analyses, ensuring consistency and integrity across all deliverables;</li>\n<li>Provide business requirements and inputs to support the broader data strategy;</li>\n</ul>\n<p><strong>What You Bring</strong></p>\n<ul>\n<li>Required Qualifications:</li>\n</ul>\n<p>+ Minimum of a Bachelor’s Degree; \t+ Significant and relevant experience in U.S. pharmaceutical or healthcare analytics; \t+ Hands-on proficiency with pharma secondary data sources (e.g., IQVIA, Symphony, Optum) and pharmaceutical data types (patient-level claims and longitudinal data, sales, demand, distribution); \t+ Experience designing and managing primary market research studies (qualitative and quantitative); \t+ Strong analytical and quantitative skills with the ability to independently execute data mining and translate findings into clear, actionable insights; \t+ Excellent verbal and written communication skills , able to craft concise PowerPoint narratives, structured syntheses, and management-ready recommendations; \t+ Self-starter with the ability to manage multiple workstreams independently and adapt quickly to shifting priorities; \t+ Comfortable setting direction with vendor and agency partners, managing timelines, and maintaining quality standards; \t+ Strong Excel proficiency; \t+ Demonstrated intellectual curiosity and critical thinking, with the ability to ask insightful questions and challenge assumptions; \t+ Practical experience using AI tools in an analytical or research context;</p>\n<ul>\n<li>Preferred Qualifications:</li>\n</ul>\n<p>+ Advanced degree preferred; \t+ 6+ years of relevant experience in U.S. pharmaceutical or healthcare analytics; \t+ Experience in cardiovascular and/or renal therapeutic areas; \t+ Programming/coding proficiency strongly preferred (e.g., SAS, SQL, Python, R); \t+ Experience with statistical tools or data science methods; \t+ Experience supporting brand planning processes, including situation analyses, KPI development, and forecasting inputs.</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_da5042c4-336","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/562949977446654?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$124,960 to $187,440","x-skills-required":["pharmaceutical secondary data sources","IQVIA","Symphony","Optum","patient-level claims","longitudinal data","sales","demand","distribution","primary market research studies","qualitative","quantitative","data mining","Excel","AI tools","analytical","research context"],"x-skills-preferred":["SAS","SQL","Python","R","statistical tools","data science methods","brand planning processes","situation analyses","KPI development","forecasting inputs"],"datePosted":"2026-06-06T13:08:21.141Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Whippany, NJ"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"pharmaceutical secondary data sources, IQVIA, Symphony, Optum, patient-level claims, longitudinal data, sales, demand, distribution, primary market research studies, qualitative, quantitative, data mining, Excel, AI tools, analytical, research context, SAS, SQL, Python, R, statistical tools, data science methods, brand planning processes, situation analyses, KPI development, forecasting inputs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":124960,"maxValue":187440,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2f70b85-78f"},"title":"Senior Technology Specialist","description":"<p>Digital Catapult is looking for a Senior Technology Specialist in AI to join our team of experts in applying cutting-edge AI to real-world challenges. In this pivotal role, you&#39;ll be the technical bridge between complex requirements and high-impact designs, turning visionary concepts into robust digital realities for a diverse range of stakeholders.</p>\n<p>This initial focus of the role will be in our UK Digital Twin Centre programme where you will ensure that AI is best applied in our mission. Funded by the Belfast City Regional Deal and Innovate UK, the Centre is a powerhouse for accelerating the adoption of Digital Twins to give UK businesses a global competitive edge.</p>\n<p>We are looking for an experienced applied technologist who understands intelligence as a system capability rather than standalone models. This is a senior hands-on role focused on how best to deploy machine learning into real-world operational systems, solving what matters.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and demonstrate machine learning approaches for anomaly detections, behaviour baselining, clustering, and predictive use-cases</li>\n</ul>\n<ul>\n<li>Support the engineering of operational systems utilising intelligence; translating analytical outputs into actionable recommendations and supporting operational decisions</li>\n</ul>\n<ul>\n<li>Ensure proposed intelligence approaches are grounded in reality, not unnecessarily complex and meet solution requirements around latency, safety, explainability, and accuracy</li>\n</ul>\n<ul>\n<li>Collaborate with solution architects and engineers to align intelligence approaches with the overall system architecture</li>\n</ul>\n<ul>\n<li>Develop demonstrators, prototypes, and technical collateral materials and to showcase solution approaches and communicate complex AI concepts to multidisciplinary stakeholders such as engineers, industry domain experts, business leaders, academics, and government representatives.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Demonstrable experience explaining complex AI concepts at the right level to different stakeholders</li>\n</ul>\n<ul>\n<li>Strong practical experience applying intelligence techniques to time series and sensor data ideally within operational, resource-constrained environments (e.g., edge AI, TinyML)</li>\n</ul>\n<ul>\n<li>Hands-on use of unsupervised or semi-supervised methods in live or near real-time contexts</li>\n</ul>\n<ul>\n<li>Understanding of data pipelines, APIs, and event-driven systems</li>\n</ul>\n<ul>\n<li>Strong software engineering discipline, with hands-on experience in Python or R for applied machine learning, including deploying, monitoring, and maintaining models in production environments</li>\n</ul>\n<ul>\n<li>Experience with incorporating intelligence into digital twin environments would be highly desirable</li>\n</ul>\n<p>Salary £60-75k depending on skills and experience</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_b2f70b85-78f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Digital Catapult","sameAs":"https://www.digit.catapult.org.uk/","logo":"https://logos.yubhub.co/digit.catapult.org.uk.png"},"x-apply-url":"https://jobs.workable.com/view/bxQYcvVM1kWgkwJCpK2fqd/hybrid-senior-technology-specialist---ai-in-belfast-at-digital-catapult?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£60-75k","x-skills-required":["machine learning","AI","Python","R","data pipelines","APIs","event-driven systems","unsupervised methods","semi-supervised methods","edge AI","TinyML"],"x-skills-preferred":[],"datePosted":"2026-06-05T12:07:35.604Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Belfast"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, AI, Python, R, data pipelines, APIs, event-driven systems, unsupervised methods, semi-supervised methods, edge AI, TinyML","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":75000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1d2cf49d-686"},"title":"Credit Business Analyst, Growth","description":"<p>Join us in building the future of finance.</p>\n<p>Our mission is to democratize finance for all.</p>\n<p>An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.</p>\n<p>If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p>\n<p><strong>About the team + role</strong></p>\n<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.</p>\n<p>Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.</p>\n<p>We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>\n<p>The Credit Card business team&#39;s mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions.</p>\n<p>Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily.</p>\n<p>By using data and customer feedback, we design growth initiatives that expand our credit card offerings.</p>\n<p>We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!</p>\n<p>As Credit Business Analyst, Growth, you will be responsible for owning a portion of the growth strategy for credit cards.</p>\n<p>You will work closely with credit, product and operations to execute strategies that will help grow the card customer base.</p>\n<p>This role is based in our Menlo Park, CA, New York, NY, or Washington, DC office(s), with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.</p>\n<p>Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Use data, technology, and customer-focused thinking to design initiatives that expand our credit card business.</li>\n</ul>\n<ul>\n<li>Collaborate with partners across product, operations, and engineering to build and run campaigns that drive high response rates for the credit card product.</li>\n</ul>\n<ul>\n<li>Use Net Present Value (NPV) models to design a growth strategy that delivers a resilient mix of customers to the card program.</li>\n</ul>\n<ul>\n<li>Propose novel solutions and gather data independently to solve complex problems.</li>\n</ul>\n<ul>\n<li>Oversee, build, and monitor marketing campaigns, using feedback loops to continuously improve performance.</li>\n</ul>\n<ul>\n<li>Communicate clearly and effectively with senior leadership, product managers, and engineering partners, tailoring content to the audience and ensuring alignment.</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>Strong quantitative analytical skills.</li>\n</ul>\n<ul>\n<li>3-5 years of experience building and leading acquisition and growth initiatives for credit card or other lending products.</li>\n</ul>\n<ul>\n<li>Hands-on experience with SQL, R, or Python (specifically Pandas, Scikit-learn, etc.).</li>\n</ul>\n<ul>\n<li>Experience growing and scaling credit card programs is a plus.</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to simplify complex programs to focus on key areas of improvement.</li>\n</ul>\n<ul>\n<li>Experience with experimentation, including test design, reading results, and communicating insights to guide decisions.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to collaborate with partners across Product, Engineering, Data Science, Legal, and Compliance.</li>\n</ul>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Challenging, high-impact work to grow your career.</li>\n</ul>\n<ul>\n<li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>\n</ul>\n<ul>\n<li>Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>\n</ul>\n<ul>\n<li>Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.</li>\n</ul>\n<ul>\n<li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>\n</ul>\n<ul>\n<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>\n</ul>\n<ul>\n<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>\n</ul>\n<p>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</p>\n<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.</p>\n<p>The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.</p>\n<p>For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>\n<p>Base Pay Range:</p>\n<p>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $153,000-$180,000 USD</p>\n<p>Zone 2 (Denver, CO; 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This role combines deep epidemiologic expertise with executive presence, leading teams to deliver innovative real-world evidence that advises critical business decisions throughout the product lifecycle, with an emphasis on applications in Clinical Development, Regulatory, and Safety.</p>\n<p>As a key member of the Epidemiology and Real World Science Department leadership team, you will influence both internal strategy and external scientific discourse while building and developing high-performing teams.</p>\n<p>Accountabilities:</p>\n<p>Strategic Leadership &amp; Execution - Develop and implement comprehensive epidemiology strategic plans aligned with corporate objectives across assigned therapeutic areas</p>\n<p>Advise the planning, prioritization, and execution of epidemiology deliverables including systematic literature reviews, real-world data analyses, and observational studies/disease registries</p>\n<p>Optimize resource allocation and operational efficiency, ensuring deliverables meet quality, budget, and timeline requirements while incorporating innovative methodologies</p>\n<p>Collaborate with the department head on department-level strategic planning, including workforce planning, external resource evaluation, and real-world data source assessment</p>\n<p>Navigate organizational ambiguities and policy complexities to ensure successful execution of critical initiatives</p>\n<p>Identify process gaps and lead the development and maintenance of Standard Operating Procedures and Process Guides</p>\n<p>Cross-Functional Collaboration - Serve as the epidemiology lead on cross-functional therapeutic area teams, partnering with Clinical Development, Pharmacovigilance, Regulatory Affairs, Medical Affairs, Commercial/Marketing, and HEOR</p>\n<p>Engage proactively with senior and executive leadership to integrate epidemiologic evidence into strategic decision-making throughout the product lifecycle</p>\n<p>Break down functional silos through influence, conflict resolution, and negotiation to achieve shared objectives</p>\n<p>Represent the department in high-level corporate meetings and critical initiatives</p>\n<p>Lead or contribute to R&amp;D and corporate process improvement initiatives, finding opportunities to enhance efficiency and impact</p>\n<p>Assess and address diverse team member needs, translating sophisticated epidemiologic concepts for varied audiences</p>\n<p>Provide executive-level presentations and recommendations that shape business strategy</p>\n<p>Technical Excellence &amp; Innovation - Serve as a recognized technical authority in epidemiologic methods, including observational study design, causal inference, safety signal quantification, and disease epidemiology</p>\n<p>Apply sophisticated analytical approaches using SAS, R, Python, or other statistical software to extract meaningful insights from sophisticated real-world data sources</p>\n<p>Ensure all epidemiology deliverables reflect current standard processes and methodological advancements in pharmacoepidemiology</p>\n<p>Provide experienced technical guidance and scientific rigor across systematic literature reviews, database studies, and registry analyses</p>\n<p>Contribute epidemiologic expertise to study protocols, case report forms (CRFs), clinical conference materials, and regulatory documents</p>\n<p>Author and review scientific manuscripts, abstracts, and presentations based on observational study data, maintaining high publication standards</p>\n<p>Work with authors, referees, and in-house reviewers to ensure scientific quality and accuracy</p>\n<p>Stay current with emerging methodologies and data sources, recommending innovations that advance departmental capabilities</p>\n<p>Leadership &amp; 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Thought Leadership - Represent the company and Epidemiology Department in interactions with regulatory authorities, Scientific Advisory Boards, and other external partners</p>\n<p>Influence industry standards and guidelines through active leadership in professional societies, industry associations, and regulatory working groups</p>\n<p>Build the company&#39;s reputation as a leader in rare disease epidemiology through publications, presentations, and scientific discourse</p>\n<p>Leverage deep expertise in rare disease epidemiology to advance understanding of disease burden, natural history, and treatment outcomes</p>\n<p>Establish and maintain relationships with key opinion leaders and external research collaborators</p>\n<p>Contribute to the broader scientific community through peer review, conference participation, and collaborative research initiatives</p>\n<p>Serve as a spokesperson for the organization at scientific conferences and industry events</p>\n<p>Travel may be required (up to 10%)</p>\n<p>Required Skills and Education:</p>\n<p>PhD / DSc / DrPH in Epidemiology with minimum 12 years post-graduation experience, or MPH/MSc in Epidemiology with minimum 15 years post-graduation experience</p>\n<p>Minimum 6 years of direct line management experience of multiple reports</p>\n<p>The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours</p>\n<p>Demonstrated expertise in epidemiologic methods, observational study design, causal inference, and real-world data analysis</p>\n<p>Proficiency with SAS, R, Python, or other statistical software packages</p>\n<p>Thorough and current knowledge of pharmacoepidemiology methods and applications</p>\n<p>Strong understanding of safety signal quantification and risk-benefit assessment</p>\n<p>Consistent record of publications in peer-reviewed journals</p>\n<p>Exceptional oral and written communication skills with ability to present sophisticated information to diverse audiences</p>\n<p>Strong attention to detail, scientific rigor, and commitment to quality</p>\n<p>Experience working optimally in cross-functional, matrixed environments</p>\n<p>Demonstrated ability to influence senior partners and drive consensus</p>\n<p>High degree of self-motivation, organization, and adaptability</p>\n<p>Comfort working in a fast-moving environment with evolving priorities</p>\n<p>Desired Skills:</p>\n<p>Deep expertise and demonstrated experience in rare disease epidemiology</p>\n<p>Knowledge of drug development processes and regulatory requirements across the product lifecycle</p>\n<p>Experience collaborating with regulatory authorities (FDA, EMA, etc.)</p>\n<p>Active leadership roles in professional societies (ISPE, ISPOR, etc.) or industry associations</p>\n<p>Track record of thought leadership through publications, presentations, and scientific discourse</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_f6e3a427-feb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epidemiology and Real World Science"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877690505371?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["pharmacoepidemiology","observational study design","causal inference","real-world data analysis","SAS","R","Python","statistical software","pharmaceutical industry","regulatory affairs","clinical development","medical writing","public health","epidemiology","health economics","outcomes research"],"x-skills-preferred":[],"datePosted":"2026-06-03T12:08:13.050Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, Massachusetts, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Healthcare","industry":"Healthcare","skills":"pharmacoepidemiology, observational study design, causal inference, real-world data analysis, SAS, R, Python, statistical software, pharmaceutical industry, regulatory affairs, clinical development, medical writing, public health, epidemiology, health economics, outcomes research"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_518d5db2-616"},"title":"Director, Analytics","description":"<p>Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We&#39;re a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.</p>\n<p>The Data &amp; Insights (D&amp;I) team transforms data into actionable insights that power EA. 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This is a Director-level role with responsibility for shaping analytics strategy, influencing senior leadership decisions, and driving measurable impact on the player experience and business.</p>\n<p>As a Principal Analyst, you will partner closely with Apex product, design, and engineering teams to tackle complex, ambiguous problems, and work across a multidisciplinary Data &amp; Insights team,including analysts, data scientists, data engineers, and BI engineers,to drive large-scale analytical efforts and shape long-term investment areas for the franchise.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Strategy &amp; Domain Leadership: Lead analytics strategy and execution for a core product domain, aligning priorities with product, design, and engineering partners</li>\n</ul>\n<ul>\n<li>Problem Structuring: Translate ambiguous business and product questions into structured analytical approaches and measurable outcomes</li>\n</ul>\n<ul>\n<li>Business Impact: Deliver high-impact insights that inform product decisions, improve player experience, and drive business performance</li>\n</ul>\n<ul>\n<li>Measurement &amp; 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You will collaborate with teams using Amazon Q, Amazon Bedrock, SageMaker, OpenAI, Databricks, and other new technologies. Your work will connect the dots across domains, simplify a complex landscape, and increase the agility of critical business processes,driving efficiencies, reducing risk, and unlocking value at scale.</p>\n<p>Can you translate brand new AI into secure, scalable platforms that speed delivery of life-changing medicines while improving the way we operate every day? 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Advanced proficiency in Excel, Microsoft Office Suite (Access, Word, PowerPoint) ERP systems (SAP, Business Objects, Oracle), and programming languages (Python, R, SAS) and data visualization tools (Tableau, Power BI) is required.</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_901ada26-a13","directApply":true,"hiringOrganization":{"@type":"Organization","name":"American Honda Finance Corp.","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/11030/Analyst-Financial-Sr-100040?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$83,000.00 - $124,500.00","x-skills-required":["forecasting credit losses","credit loss analytics","financial forecast model development","Excel","Microsoft Office Suite","ERP systems","programming languages","data visualization tools"],"x-skills-preferred":["Python","R","SAS","Tableau","Power BI"],"datePosted":"2026-06-02T08:03:48.801Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Torrance"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"forecasting credit losses, credit loss analytics, financial forecast model development, Excel, Microsoft Office Suite, ERP systems, programming languages, data visualization tools, Python, R, SAS, Tableau, Power BI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":83000,"maxValue":124500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f85193e-a9e"},"title":"Regional Research Economist, Economic Research","description":"<p>As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI&#39;s effects on the economy and explore research-driven policy interventions.</p>\n<p>You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index.</p>\n<p>You will use frontier methods in econometrics, machine learning, and structural estimation. 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Coaching Benefits Comprehensive Medical Benefits &amp; Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation &amp; Paid Volunteer Time Off Generous Paid Parental Leave</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_9969c0a3-d3d","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/7974507?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["causal inference","experimentation methodology","statistical computing","SQL","R","Python","experimental design","power analysis","variance reduction techniques","sequential testing","multiple comparison corrections","cluster-randomized designs","switchback experiments","synthetic control approaches","ecosystem-level effects","product strategy","data science","applied science","experimentation-focused roles"],"x-skills-preferred":["Bayesian experimental methods","bandit algorithms","adaptive experimental designs","social network","user-generated content platforms"],"datePosted":"2026-06-02T05:05:54.808Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"causal inference, experimentation methodology, statistical computing, SQL, R, Python, experimental design, power analysis, variance reduction techniques, sequential testing, multiple comparison corrections, cluster-randomized designs, switchback experiments, synthetic control approaches, ecosystem-level effects, product strategy, data science, applied science, experimentation-focused roles, Bayesian experimental methods, bandit algorithms, adaptive experimental designs, social network, user-generated content platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2f11948f-bc6"},"title":"Praktikum Datenanalyse Validierung & Verifikation Verbrennung-/Hybrid- und Energiesystem","description":"<p>As a data analyst at Porsche, you will play a key role in developing and applying data science methods to analyze real-world data from vehicles. Your responsibilities will include:</p>\n<p>Developing and applying data science methods to analyze real-world data from vehicles Further developing existing automated data analysis modules for the test facility using cloud technologies Developing new methods for data analysis using modern machine learning and AI technologies Preparing, structuring, and providing data for data-driven decision-making processes Visualizing analysis results using Power BI, Tableau, or Python (Matplotlib, Seaborn, Plotly) for various stakeholders</p>\n<p>You will work closely with our team to develop innovative solutions and drive forward the development of future technologies. You will have the opportunity to work on real-world projects and contribute to the success of our organization.</p>\n<p>The duration of the internship is 6 months, starting in October. You will have the opportunity to work in a dynamic and innovative environment with a motivated team. You will also have flexible working hours and the possibility of remote work.</p>\n<p>To be eligible for this internship, you should have a strong background in data analysis and machine learning. You should have experience with programming languages such as Python, R, or SQL. You should also have knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.</p>\n<p>If you are interested in this internship, please submit your application through our online portal. We look forward to hearing from you!</p>\n<p>Benefits:</p>\n<ul>\n<li>Opportunity to work on real-world projects</li>\n<li>Dynamic and innovative work environment</li>\n<li>Motivated team</li>\n<li>Flexible working hours</li>\n<li>Remote work possibility</li>\n<li>Opportunity to develop your skills and knowledge</li>\n<li>Competitive salary and benefits package</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Strong background in data analysis and machine learning</li>\n<li>Experience with programming languages such as Python, R, or SQL</li>\n<li>Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib</li>\n<li>Good communication and teamwork skills</li>\n<li>Ability to work independently and as part of a team</li>\n<li>Strong problem-solving skills</li>\n<li>Ability to adapt to changing priorities and deadlines</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Master&#39;s degree in data science, computer science, or a related field</li>\n<li>Experience with cloud technologies such as AWS or Azure</li>\n<li>Knowledge of machine learning frameworks such as TensorFlow or PyTorch</li>\n<li>Experience with data visualization tools such as D3.js or Plotly</li>\n<li>Strong understanding of statistical concepts and techniques</li>\n<li>Ability to communicate complex technical concepts to non-technical stakeholders</li>\n</ul>\n<p>Salary:</p>\n<ul>\n<li>The salary for this internship is competitive and will be discussed during the interview process.</li>\n</ul>\n<p>Location:</p>\n<ul>\n<li>The internship will be located in Weissach, Germany.</li>\n</ul>\n<p>Duration:</p>\n<ul>\n<li>The internship will last for 6 months, starting in October.</li>\n</ul>\n<p>Working hours:</p>\n<ul>\n<li>The working hours will be flexible and can be discussed during the interview process.</li>\n</ul>\n<p>Remote work:</p>\n<ul>\n<li>The possibility of remote work will be discussed during the interview process.</li>\n</ul>\n<p>Application:</p>\n<ul>\n<li>To apply for this internship, please submit your application through our online portal.</li>\n</ul>\n<p>Contact:</p>\n<ul>\n<li>For more information about this internship, please contact us at [insert contact email or phone number].</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_2f11948f-bc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dr. Ing. h.c. 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This role will focus on handling Personal Auto data, creating reports and dashboards, and delivering insights for senior leadership.</p>\n<p>You will process, manipulate, and organize data for Actuarial Reserving and Pricing teams using SAS and SQL. Create and maintain reports and dashboards using SAS, SQL, Excel, and R Shiny. Support special data analysis projects for senior leadership. Identify data issues and collaborate with IT to resolve defects. Improve existing data processes to enhance efficiency and accuracy. Provide data and insights to all actuarial areas within the organization.</p>\n<p>Key requirements include experience in data management and reporting, proficiency in SAS, SQL, and Excel, programming skills, familiarity with actuarial reserving concepts, strong analytical and problem-solving skills, ability to work independently, and good communication skills.</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_de568864-118","directApply":true,"hiringOrganization":{"@type":"Organization","name":"One of the United States' largest insurers","sameAs":"https://www.insurer.com","logo":"https://logos.yubhub.co/insurer.com.png"},"x-apply-url":"https://jobs.workable.com/view/bUnHVADeTzfaSp1cLCHRbS/remote-fbs---sr-actuarial-analyst-in-brazil-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"Competitive salary and performance-based bonuses","x-skills-required":["SAS","SQL","Excel","R Shiny","actuarial reserving concepts"],"x-skills-preferred":["R","Python"],"datePosted":"2026-05-30T08:05:56.621Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Insurance","skills":"SAS, SQL, Excel, R Shiny, actuarial reserving concepts, R, Python"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fbabeaba-939"},"title":"Lead Analyst, Advanced Analytics","description":"<p>We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb&#39;s Payments operations.</p>\n<p>Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organisations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research.</p>\n<p>You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues).</p>\n<p>Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organisation will be essential in achieving our goals.</p>\n<p>The Difference You Will Make</p>\n<ul>\n<li>You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis</li>\n<li>You are highly proficient in building and analysing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact</li>\n<li>You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence</li>\n<li>Ability to create impact for key projects at the eTeam direct level by influencing strategy and roadmap through data-backed storytelling and actionable recommendations</li>\n</ul>\n<p>A Typical Day</p>\n<ul>\n<li>Generating payment reports and analysing payment data for insights and performance evaluation</li>\n<li>Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership</li>\n<li>Assist with analysing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimisation</li>\n<li>Design, execute, and analyse experiments to evaluate the impact of Payment strategies, product changes, and process improvements</li>\n<li>You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes</li>\n<li>Assist with initiatives to optimise the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities</li>\n<li>Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results</li>\n<li>Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilising advanced data analytics, AI/ML techniques to inform strategic decision-making</li>\n<li>Leverage experience across adjacent payment risk domains (trust &amp; safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities</li>\n<li>Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation</li>\n<li>Monitor payment trends, identify areas for improvement and implement strategies to optimise payments processing</li>\n<li>Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business</li>\n</ul>\n<p>Your Expertise</p>\n<ul>\n<li>8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)</li>\n<li>Have experience supporting Payments teams and/or have worked closely with payments organisations, with demonstrated exposure to multiple payment risk domains such as trust &amp; safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management</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>Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders</li>\n<li>Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment</li>\n<li>Comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions</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. Pay Range $164,000-$191,000 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_fbabeaba-939","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/7967712?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,000-$191,000 USD","x-skills-required":["SQL","Python","R","Data Analysis","Machine Learning","Experimentation","Causal Inference","Schema Design","High-Dimensional Data Modelling"],"x-skills-preferred":[],"datePosted":"2026-05-30T03:05:54.538Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, R, Data Analysis, Machine Learning, Experimentation, Causal Inference, Schema Design, High-Dimensional Data Modelling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164000,"maxValue":191000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c02bbbb8-0b3"},"title":"Digital Marketing Analyst","description":"<p>In the role of Digital Marketing Data Analyst in the Global Marketing , Digital Media team, you will contribute to our purpose of Bringing People Closer. You will serve as the data and measurement backbone of our digital media practice , owning reporting infrastructure, designing experiments, and leading advanced measurement initiatives like data clean rooms.</p>\n<p>You will join a high-impact digital media team covering paid search, paid social, programmatic, and global media operations. 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We trust our people to fulfill their responsibilities and know when in-person collaboration is most valuable.</p>\n<p>We encourage you to apply Even if you don&#39;t match all the above-mentioned skills, we welcome your application if you have transferable experience and motivation aligned with our values.</p>\n<p>We are focused on an inclusive recruitment process All applicants will receive equal consideration for employment. Please submit your CV without a photo to ensure a fair process.</p>\n<p>How to apply? Use the APPLY link. Applications are reviewed continuously.</p>\n<p>Join us in bringing people closer GN delivers advanced audio, video, and gaming solutions that enhance communication, collaboration, and user experiences globally.</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_c02bbbb8-0b3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"SteelSeries","sameAs":"https://steelseries.com/","logo":"https://logos.yubhub.co/steelseries.com.png"},"x-apply-url":"https://gn.wd3.myworkdayjobs.com/en-US/SteelSeriesCareers/job/Warszawa/Digital-Marketing-Analyst_R28415-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Power BI","data clean rooms","attribution models","statistical tools","Python","R"],"x-skills-preferred":[],"datePosted":"2026-05-29T06:08:42.379Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"SQL, Power BI, data clean rooms, attribution models, statistical tools, Python, R"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_db7806df-fff"},"title":"Technical Sales Data Analyst (Commercial Finance)","description":"<p>We are seeking a technical Sales Data Analyst to support the Global Commercial Finance team. 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We are looking for a candidate who can identify opportunities to automate manual reporting tasks through AI tools, scripting, or advanced data integration techniques while understanding the business requirements and a natural analytical mind.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Dashboard Development &amp; Visualization</strong></p>\n<ul>\n<li>Design, build, and maintain advanced Tableau dashboards to track sales performance, channel inventory, and sell-through metrics and forecasts</li>\n</ul>\n<ul>\n<li>Translate business requirements into visual tools that allow stakeholders to understand complex data trends quickly.</li>\n</ul>\n<ul>\n<li>Optimize existing dashboards for performance and usability.</li>\n</ul>\n<p><strong>Data Integration &amp; Management</strong></p>\n<ul>\n<li>Connect and manage data flows from multiple sources (e.g., ERP, CRM, external market data) to ensure a unified view of the business.</li>\n</ul>\n<ul>\n<li>Ensure data integrity and accuracy across all reporting tools; troubleshoot discrepancies immediately.</li>\n</ul>\n<ul>\n<li>Structure data specifically for efficient consumption in visualization tools.</li>\n</ul>\n<p><strong>Process Automation &amp; AI Integration</strong></p>\n<ul>\n<li>Identify repetitive, manual data preparation tasks and implement automated solutions.</li>\n</ul>\n<ul>\n<li>Leverage AI tools, Python/R scripting, or advanced Excel functions to streamline data cleaning and processing.</li>\n</ul>\n<ul>\n<li>Actively research and propose new tools or methods to improve the speed and accuracy of reporting.</li>\n</ul>\n<p><strong>Business Planning Support</strong></p>\n<ul>\n<li>Support the Business Planning team with ad-hoc analysis and scenario modeling.</li>\n</ul>\n<ul>\n<li>Assist in the preparation of weekly and monthly business review materials.</li>\n</ul>\n<p><strong>Candidate Requirements</strong></p>\n<p><strong>Technical Skills</strong></p>\n<ul>\n<li>Data Visualization: Expert-level proficiency in Tableau is required (dashboard creation, calculated fields, parameters).</li>\n</ul>\n<ul>\n<li>Data Handling: Strong experience with Excel (Power Query, advanced formulas). 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As a Data Scientist Lead, you will be responsible for leading a team of data scientists to deliver high-quality projects to our clients. You will work closely with our data engineers and analysts to ensure the successful delivery of projects and will be responsible for the development of new data science solutions for our clients.</p>\n<p>Your main responsibilities will include:</p>\n<ul>\n<li>Leading a team of data scientists to deliver high-quality projects to our clients</li>\n<li>Developing new data science solutions for our clients</li>\n<li>Collaborating with our data engineers and analysts to ensure the successful delivery of projects</li>\n<li>Staying up-to-date with the latest developments in machine learning and data science</li>\n</ul>\n<p>In order to be successful in this role, you will need to have:</p>\n<ul>\n<li>A strong background in machine learning and data science</li>\n<li>Experience leading a team of data scientists</li>\n<li>Excellent communication and project management skills</li>\n<li>A strong understanding of data engineering and analytics</li>\n<li>The ability to stay up-to-date with the latest developments in machine learning and data science</li>\n</ul>\n<p>We offer a competitive salary and benefits package, including:</p>\n<ul>\n<li>A competitive salary</li>\n<li>A comprehensive benefits package</li>\n<li>Opportunities for professional development and growth</li>\n<li>A dynamic and supportive work environment</li>\n</ul>\n<p>If you are a motivated and experienced data scientist looking for a new challenge, please apply today!</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>A competitive salary</li>\n<li>A comprehensive benefits package</li>\n<li>Opportunities for professional development and growth</li>\n<li>A dynamic and supportive work environment</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>A strong background in machine learning and data science</li>\n<li>Experience leading a team of data scientists</li>\n<li>Excellent communication and project management skills</li>\n<li>A strong understanding of data engineering and analytics</li>\n<li>The ability to stay up-to-date with the latest developments in machine learning and data science</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>A master&#39;s degree in computer science, mathematics, or a related field</li>\n<li>Experience working with large datasets and complex algorithms</li>\n<li>Strong programming skills in languages such as Python, R, or SQL</li>\n<li>Experience with data visualization tools such as Tableau or Power BI</li>\n<li>Strong analytical and problem-solving skills</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are interested in this opportunity, please submit your resume and a cover letter explaining why you are a good fit for this role. 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Reporting to the Manager of Analytics, you’ll use your expertise to inform strategic decisions across product optimization, gameplay features, technology, testing, and overall quality.</p>\n<p>Your key responsibilities will include:</p>\n<p>Analyzing player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation and test coverage and bug metrics Building dashboards, reports, and visualisations that help stakeholders make better, faster decisions Contributing to the development of predictive models and other applications of machine learning that personalise player experiences or support product decisions Exploring and applying generative AI tools to increase the efficiency of your own work and support scalable insights Working with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making Presenting findings to both technical and non-technical audiences</p>\n<p>To succeed in this role, you will need:</p>\n<p>3+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R Experience with visualisation tools such as Looker, PowerBI Ability to translate business needs into technical data requirements Experience with or interest in using machine learning and generative AI tools to support analytics or player insights Excellent problem-solving and communication skills Ability to independently manage assigned tasks including work planning for assigned deliverables</p>\n<p>In return, we offer a competitive salary and benefits package, including:</p>\n<p>A salary range of $92,900 - $129,200 CAD Vacation (3 weeks per year to start) 10 days per year of sick time Extended health/dental/vision coverage and basic life insurance</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_15b39b3d-1cd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Senior-Data-Analyst-TSE/213974?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"temporary","x-salary-range":"$92,900 - $129,200 CAD","x-skills-required":["SQL","Python","R","Looker","PowerBI","Machine Learning","Generative AI"],"x-skills-preferred":[],"datePosted":"2026-05-15T21:09:22.423Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"TEMPORARY","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, R, Looker, PowerBI, Machine Learning, Generative AI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":92900,"maxValue":129200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_31ba48a3-9c1"},"title":"Staff Data Scientist, Marketing","description":"<p>We&#39;re looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. As a Staff Data Scientist, you will be the primary architect of how we measure and optimize Reddit&#39;s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors).</p>\n<p>In this role, you will set the long-term strategic goals for Reddit&#39;s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. 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For Ph.D. holders: 6+ years of industry experience.</li>\n</ul>\n<ul>\n<li>Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.</li>\n</ul>\n<ul>\n<li>Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).</li>\n</ul>\n<ul>\n<li>Strategic Communication: Proven track record of influencing C-suite stakeholders and &#39;translating&#39; complex statistical concepts into business strategy.</li>\n</ul>\n<ul>\n<li>Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with Bayesian structural time series or causal inference libraries.</li>\n</ul>\n<ul>\n<li>Previous experience in a high-growth marketplace or social media platform.</li>\n</ul>\n<ul>\n<li>A passion for the Reddit community and an understanding of our unique &#39;Ads-as-Content&#39; philosophy.</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_31ba48a3-9c1","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/7931000?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","R","SQL","Marketing Mix Modeling","Incrementality Testing","Customer Lifetime Value prediction","Machine learning","Predictive modeling","Data pipelines","Statistical rigor"],"x-skills-preferred":["Bayesian structural time series","Causal inference libraries","High-growth marketplace","Social media platform"],"datePosted":"2026-05-15T20:06:43.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Python, R, SQL, Marketing Mix Modeling, Incrementality Testing, Customer Lifetime Value prediction, Machine learning, Predictive modeling, Data pipelines, Statistical rigor, Bayesian structural time series, Causal inference libraries, High-growth marketplace, Social media platform"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_20e17581-f68"},"title":"Senior Data Science Manager, Marketing","description":"<p>We&#39;re looking for an experienced leader to head a team of talented data scientists focused on the Marketing &amp; Business Development domain. As a Data Science Senior Manager, you will lead a team that is crucial to Reddit&#39;s user growth strategy.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Leading and developing a high-performing team of data scientists focused on the Marketing &amp; Business Development domain</li>\n<li>Driving strategy and communicating with cross-functional leaders to shape the roadmap and strategy for Reddit</li>\n<li>Delivering causal insights to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels</li>\n<li>Standardizing measurement frameworks to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization</li>\n<li>Driving adoption of strategic and tactical recommendations based on deep product experience and data understanding</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>Experience in driving product strategy and roadmaps through analytics</li>\n<li>Leadership experience as a people manager, leading a team of up to 10 data scientists</li>\n<li>Expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy</li>\n<li>Ability to communicate to both technical and non-technical people</li>\n<li>Proficiency in SQL and Python/R for hands-on analysis</li>\n</ul>\n<p>Benefits include global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, comprehensive medical benefits &amp; health care spending account, registered retirement savings plan with matching contributions, income replacement programs, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</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_20e17581-f68","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/7931010?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","R","Causal inference","A/B testing experimentation","Metric definition and governance","Product strategy"],"x-skills-preferred":[],"datePosted":"2026-05-15T20:06:42.563Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"SQL, Python, R, Causal inference, A/B testing experimentation, Metric definition and governance, Product strategy"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1f672db-b2f"},"title":"Staff Data Scientist, Consumer","description":"<p>We&#39;re looking for a Staff Data Scientist to join our Consumer Data Science team. As a Staff Data Scientist, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help build the long-term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention</li>\n<li>Influence strategic roadmaps through data-driven insights into user behaviours and needs</li>\n<li>Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis</li>\n<li>Drive experimentation from design through execution and analysis to maximise learnings and guide future investment decisions</li>\n<li>Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organisation</li>\n<li>Work cross-functionally with product, engineering, and design teams to ensure insights make it to the product</li>\n<li>Scale your work to other parts of the data organisation through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Advanced degree (Master&#39;s or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research</li>\n<li>For M.S. holders: 10+ years of industry experience in applied science or data science roles</li>\n<li>For Ph.D. holders: 6+ years of industry experience in applied science or data science roles</li>\n<li>Expert knowledge of SQL and relational databases</li>\n<li>Familiarity with statistical analysis and the preferred programming languages of the team (R / Python)</li>\n<li>Demonstrated ability to influence and guide product strategy with data</li>\n<li>Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way</li>\n<li>Familiarity with causal inference techniques and causal models</li>\n<li>Excellent communication and experience working with senior leaders / stakeholders</li>\n<li>Entrepreneurial, self-directed, and enthusiastic about solving problems</li>\n<li>Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit</li>\n<li>Conform in innovative and fast-paced environments, and have a bias toward action.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\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>Comprehensive Medical Benefits &amp; Health Care Spending Account</li>\n<li>Registered Retirement Savings Plan with matching contributions</li>\n<li>Income Replacement Programs</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_b1f672db-b2f","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/7931007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","relational databases","statistical analysis","R","Python","causal inference techniques","causal models"],"x-skills-preferred":[],"datePosted":"2026-05-15T20:06:32.963Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Ontario, Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, relational databases, statistical analysis, R, Python, causal inference techniques, causal models"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90ea471e-b09"},"title":"Senior Data Scientist, Consumer","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Consumer Data Science team. 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If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).</p>\n<p>PAY RANGES</p>\n<p>£133,500 - £186,400 CAD</p>\n<p>Pay is just one part of the overall compensation at EA.</p>\n<p>For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.</p>\n<p>About Electronic Arts</p>\n<p>We&#39;re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</p>\n<p>We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.</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_06f5b40f-abd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Senior-Creative-Analytics-Lead/213886?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£133,500 - £186,400 CAD","x-skills-required":["Analyzing large datasets","Creative testing methods","Brand measurement approaches","Data visualization","Statistics","Experimentation","Hypothesis testing","SQL","R","Python","Segmentation","Predictive modeling"],"x-skills-preferred":[],"datePosted":"2026-05-14T21:03:19.699Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Analyzing large datasets, Creative testing methods, Brand measurement approaches, Data visualization, Statistics, Experimentation, Hypothesis testing, SQL, R, Python, Segmentation, Predictive modeling","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":133500,"maxValue":186400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_03513e2c-5ed"},"title":"Senior Data Scientist, Content Analytics","description":"<p>Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter.</p>\n<p>Workplace Type: Hybrid (Vancouver, BC or Austin, TX)</p>\n<p>Reporting To: Director, Franchise Marketing Analytics</p>\n<p>The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We connect teams across Experiences with data, insights, and technology to accelerate business outcomes.</p>\n<p>Your Impact</p>\n<p>You will define how content analytics informs marketing strategy by connecting creative performance to business outcomes and guiding decision-making across teams.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design scalable models to standardize and analyze marketing content using AI techniques</li>\n<li>Connect content performance to acquisition, engagement, and revenue outcomes</li>\n<li>Lead experimentation design including A/B, multivariate, and causal impact methods</li>\n<li>Partner with analysts and stakeholders to define measurement frameworks</li>\n<li>Integrate data from multiple sources to generate insights across channels</li>\n<li>Deliver insights through clear narratives and visualizations</li>\n</ul>\n<p>Required Qualifications</p>\n<ul>\n<li>Bachelor’s degree in STEM or economics</li>\n<li>4–6 years experience in data science or analytics</li>\n<li>Experience applying statistical methods to business problems</li>\n<li>Strong SQL experience with large datasets</li>\n<li>Experience using Python or R for advanced modeling</li>\n</ul>\n<p>Core Skills and Experience</p>\n<ul>\n<li>Build predictive and statistical models at scale</li>\n<li>Define analytical approaches for ambiguous problems</li>\n<li>Influence decisions through data storytelling</li>\n<li>Collaborate across global, cross-functional teams</li>\n<li>Experience with marketing, media, or content analytics</li>\n</ul>\n<p>Pay Transparency - North America</p>\n<p>COMPENSATION AND BENEFITS</p>\n<p>The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).</p>\n<p>PAY RANGES</p>\n<p>$141,400 - $204,400 CAD</p>\n<p>Pay is just one part of the overall compensation at EA.</p>\n<p>For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. 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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.</p>\n<p>This is an opportunity to do career-defining work. We&#39;re all in on this mission. If you are too, let&#39;s talk.</p>\n<p><strong>About Okta</strong></p>\n<p>At Okta, our mission is to enable any organisation to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.</p>\n<p><strong>The Opportunity</strong></p>\n<p>We are seeking a Staff Analytics Engineer to support Finance by building reliable, well-modelled, and trusted data for reporting, decision-making, and emerging AI use cases.</p>\n<p>This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.</p>\n<p>You will partner closely with Finance stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.</p>\n<p><strong>What You’ll Do</strong></p>\n<p><strong>Data Modeling &amp; Semantics</strong></p>\n<ul>\n<li>Drive architectural evolution of the Finance data models, evaluating and implementing new design patterns to ensure long-term scalability and resilience.</li>\n</ul>\n<ul>\n<li>Design, build, and maintain scalable data models using dbt and Snowflake</li>\n</ul>\n<ul>\n<li>Define and standardize core Finance metrics (e.g., revenue, ARR, billing) with clear, governed logic</li>\n</ul>\n<ul>\n<li>Establish consistent modelling patterns, naming conventions, and semantic clarity across datasets</li>\n</ul>\n<ul>\n<li>Contribute to a shared semantic layer that supports both analytics and AI use cases</li>\n</ul>\n<p><strong>AI-Ready Data &amp; Snowflake Ecosystem</strong></p>\n<ul>\n<li>Define the strategy for data readiness and consumption by AI/LLMs, ensuring that governance and semantic clarity standards meet the requirements for trustworthy and responsible automated decision-making.</li>\n</ul>\n<ul>\n<li>Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence</li>\n</ul>\n<ul>\n<li>Enable structured data foundations that support LLM-powered use cases, semantic querying, and intelligent applications</li>\n</ul>\n<ul>\n<li>Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and trust</li>\n</ul>\n<p><strong>Data Quality, Governance &amp; Trust</strong></p>\n<ul>\n<li>Implement robust testing, validation, and documentation practices in dbt</li>\n</ul>\n<ul>\n<li>Ensure consistency across reports and dashboards through shared definitions and reusable models</li>\n</ul>\n<ul>\n<li>Apply data governance best practices, including access controls, lineage, and auditability</li>\n</ul>\n<ul>\n<li>Partner across teams to establish clear ownership and accountability for data assets</li>\n</ul>\n<p><strong>Collaboration &amp; 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Engineering Excellence: Mentorship, raising the technical bar, establishing organisation-wide standards for dbt/SQL quality and CI/CD.</li>\n</ul>\n<ul>\n<li>Strong SQL skills and experience building analytics-ready data models</li>\n</ul>\n<ul>\n<li>Hands-on experience with dbt and Snowflake</li>\n</ul>\n<ul>\n<li>Solid understanding of data modeling principles, including dimensional modeling and semantic design</li>\n</ul>\n<ul>\n<li>Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions</li>\n</ul>\n<ul>\n<li>Familiarity with SaaS metrics and Finance data (e.g., ARR, revenue recognition, billing)</li>\n</ul>\n<ul>\n<li>Experience with data quality, testing, and documentation best practices</li>\n</ul>\n<ul>\n<li>Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus</li>\n</ul>\n<ul>\n<li>Experience with BI tools such as Tableau or Looker</li>\n</ul>\n<ul>\n<li>Strong communication skills and ability to work across technical and business teams</li>\n</ul>\n<p><strong>What Success Looks Like</strong></p>\n<ul>\n<li>Trusted, well-structured data models that reliably support Finance reporting</li>\n</ul>\n<ul>\n<li>Consistent metric definitions across teams and tools</li>\n</ul>\n<ul>\n<li>High-quality, well-documented datasets that enable self-service analytics</li>\n</ul>\n<ul>\n<li>A strong semantic and modeling foundation that scales with the business</li>\n</ul>\n<ul>\n<li>Data that is not only accurate for reporting, but ready to power AI and intelligent applications</li>\n</ul>\n<ul>\n<li>The Finance data domain operates on a defined multi-quarter technical roadmap, resulting in demonstrable improvements in data platform resilience, cost-efficiency, and scalability.</li>\n</ul>\n<p>#Hybrid_Bengaluru</p>\n<p>#LI_Linkedin P24714_3415073</p>\n<p>The Okta Experience</p>\n<ul>\n<li>Supporting Your Well-Being</li>\n</ul>\n<ul>\n<li>Driving Social Impact</li>\n</ul>\n<ul>\n<li>Developing Talent and Fostering Connection + Community</li>\n</ul>\n<p>We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.</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_858b6990-a3f","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/7823315?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["dbt","Snowflake","SQL","data modeling","semantic design","data governance","data quality","testing","documentation","Python","R","PySpark","Tableau","Looker"],"x-skills-preferred":[],"datePosted":"2026-05-14T20:07:41.185Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"dbt, Snowflake, SQL, data modeling, semantic design, data governance, data quality, testing, documentation, Python, R, PySpark, Tableau, Looker"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32262385-c22"},"title":"Sr Manager, Advanced Analytics, FSI","description":"<p>Job Title: Sr Manager, Advanced Analytics, FSI</p>\n<p>Location: United States</p>\n<p>Department: Analytics</p>\n<p>Job Description:</p>\n<p>Airbnb is scaling how Fraud &amp; Safety operations are measured, governed, and optimized globally. As Senior Manager, Analytics – Fraud &amp; Safety Investigations, you will lead a team of analysts supporting human enforcement systems across content moderation, fraud review, and safety operations.</p>\n<p>You will own how operational performance is measured and improved,translating complex enforcement workflows into scalable KPI frameworks, experimentation roadmaps, and decision systems. This role sits at the intersection of Operations, Policy, Product, and Engineering, ensuring that human enforcement is efficient, consistent, and aligned with platform safety goals.</p>\n<p>The Difference You Will Make:</p>\n<p>This is a high-impact leadership role focused on enabling fast, data-driven operational decisions at global scale. This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement.</p>\n<p>Your insights and systems will empower every stakeholder,from legal to operations, policy to product,to make bold, data-driven, and context-aware decisions in real time.</p>\n<p>A Typical Day:</p>\n<ul>\n<li>Operational Analytics</li>\n</ul>\n<p>Define and operationalize KPI frameworks for global Fraud &amp; Safety operations (quality, accuracy, SLA, productivity, cost)</p>\n<p>Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows</p>\n<p>Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership</p>\n<p>Experimentation &amp; Continuous Improvement</p>\n<p>Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience</p>\n<p>Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements</p>\n<p>Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)</p>\n<p>Workforce &amp; Vendor Analytics</p>\n<p>Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management</p>\n<p>Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards</p>\n<p>Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows</p>\n<p>Cross-Functional Execution</p>\n<p>Partner with Product and Engineering to translate operational insights into tooling and workflow improvements</p>\n<p>Collaborate with Policy and Legal to ensure enforcement decisions are measurable, auditable, and compliant</p>\n<p>Support high-severity incidents and “war room” analytics, providing real-time insights during escalations</p>\n<p>Scaling Analytics &amp; Decision Systems</p>\n<p>Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently</p>\n<p>Standardize metrics, taxonomies, and reporting across workflows to create a consistent “source of truth” for operations</p>\n<p>Drive adoption of data-driven decision-making across global Trust &amp; Safety teams</p>\n<p>Your Expertise:</p>\n<ul>\n<li>8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams.</li>\n</ul>\n<p>Proven ownership of large-scale data products or taxonomies in a regulated environment.</p>\n<p>Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops) Strong SQL &amp; data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines.</p>\n<p>Proven ability to:</p>\n<ul>\n<li>Design KPI’s and operational metrics</li>\n</ul>\n<p>Translate ambiguous problems into structured analytical frameworks</p>\n<p>Influence cross-functional stakeholders (Ops, Product, Policy, Finance)</p>\n<p>Drive measurable improvements in quality, efficiency, and cost</p>\n<p>Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises,translating insights into systematic improvements.</p>\n<p>Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service</p>\n<p>Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization</p>\n<p>Preferred Experience:</p>\n<ul>\n<li>Background in Trust &amp; Safety, Integrity, Fraud, or Risk operations</li>\n</ul>\n<p>Familiarity with real-time decision engines, and anomaly-detection frameworks</p>\n<p>Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors</p>\n<p>Statistics or quantitative graduate degree (MS/PhD)</p>\n<p>Experience with:</p>\n<ul>\n<li>Workforce planning &amp; forecasting</li>\n</ul>\n<p>Experimentation platforms</p>\n<p>Real-time operations analytics</p>\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. 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This role involves working with customers to understand their data needs, identifying relevant datasets, and integrating data into a stable and extensible pipeline. The ideal candidate will have a curious and analytical mindset, a sharp intuition for product, and strong user empathy.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Meeting with customer analysts to understand critical questions and pain points</li>\n<li>Identifying relevant datasets through deep engagement with customer problems and workflows</li>\n<li>Working with Forward Deployed Engineers to integrate data into a pipeline</li>\n<li>Building bespoke workflows for new user groups</li>\n<li>Leading training sessions to ensure product meets user needs</li>\n<li>Presenting results and proposals to various audiences</li>\n</ul>\n<p>The successful candidate will be able to take on open-ended problems in unstructured environments, be adaptive and introspective, and have experience with programming, scripting, or statistical packages.</p>\n<p>Life at Palantir emphasizes individual strengths, skills, and interests, and promotes health and well-being across all areas of employees&#39; lives. 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Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts,all working together at the intersection of AI and genetic medicine.</p>\n<p>Our culture is defined by three core values that guide everything we do:</p>\n<ul>\n<li>One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.</li>\n</ul>\n<ul>\n<li>Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.</li>\n</ul>\n<ul>\n<li>Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.</li>\n</ul>\n<p>These values are more than words,they drive our actions and decisions. Our greatest strength isn’t technology,it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.</p>\n<p>What You’ll Give</p>\n<ul>\n<li>Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.</li>\n</ul>\n<ul>\n<li>Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.</li>\n</ul>\n<ul>\n<li>Operate with urgency, responsibility, and resilience, because this mission demands the best from us.</li>\n</ul>\n<p>What You’ll Get</p>\n<ul>\n<li>Competitive compensation &amp; equity,your contributions drive results, and we pay accordingly.</li>\n</ul>\n<ul>\n<li>Mission-aligned, high-trust environment,we succeed together, supporting each other through challenges.</li>\n</ul>\n<ul>\n<li>A career-defining experience,work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.</li>\n</ul>\n<p>If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment,we’d love to hear from you.</p>\n<p>At Dyno, we believe in transparent and equitable compensation practices.</p>\n<p>Base Salary Range: $123,807.01 – $148,568.41/year</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_0b97c91a-a87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dyno Therapeutics","sameAs":"https://www.dynotx.com/","logo":"https://logos.yubhub.co/dynotx.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dynotherapeutics/jobs/7732063003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$123,807.01 – $148,568.41/year","x-skills-required":["Immunology","Cell/Molecular Biology","Gene Therapy","Molecular Biology Techniques","Immunological Assays","ELISA","Neutralization","ELISPOT Assays","qPCR","Flow Cytometry","NGS Library Prep","NGS-Based Experimental Design","Python","R","Data Analysis","Statistical Methods","Experimental Design","Troubleshooting"],"x-skills-preferred":["In Vivo Models of Immune Response","High-Throughput Libraries","Large-Scale Screening Workflows","AAV Biology","Viral Vector Engineering"],"datePosted":"2026-05-12T22:06:49.591Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Watertown, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Immunology, Cell/Molecular Biology, Gene Therapy, Molecular Biology Techniques, Immunological Assays, ELISA, Neutralization, ELISPOT Assays, qPCR, Flow Cytometry, NGS Library Prep, NGS-Based Experimental Design, Python, R, Data Analysis, Statistical Methods, Experimental Design, Troubleshooting, In Vivo Models of Immune Response, High-Throughput Libraries, Large-Scale Screening Workflows, AAV Biology, Viral Vector Engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":123807.01,"maxValue":148568.41,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ad20d40-71a"},"title":"Deployment Strategist, Internship","description":"<p><strong>A World-Changing Company</strong></p>\n<p>Palantir builds the world&#39;s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.</p>\n<p><strong>The Role</strong></p>\n<p>As a Deployment Strategist Intern, you&#39;ll work as part of a diverse, generative, and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most important problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.</p>\n<p>The problems you&#39;ll solve will require a curious and analytical mindset, a sharp intuition for product, an ability to speak the language of data, and an understanding that humans should make decisions. 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Deployment Strategists are responsible for turning that hunch into reality.</p>\n<p>Deployment Strategists are do-ers who thrive in ambiguity, react quickly to new stimuli, and don&#39;t equate pivoting with failing as they operate in pursuit of truth, value, and meaningful impact.</p>\n<p>In this internship, you&#39;ll immerse yourself in intricate customer workflows, explore data using quantitative analytics across large datasets, and dive into the product landscape.</p>\n<p>If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you.</p>\n<p><strong>No two days are the same, but as a Deployment Strategist you can expect to:</strong></p>\n<ul>\n<li>Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest struggles</li>\n<li>Build a case for gaining access to the relevant datasets, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline</li>\n<li>Create and lead training sessions to ensure that the product is meeting the needs of a range of users, and is being used widely enough to have concrete impact on our partners&#39; operations</li>\n<li>Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives</li>\n<li>Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings</li>\n<li>Build and deliver demos to new and existing customers</li>\n<li>Scope out potential engagements in new industries and in increasingly expanding locations around the world</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Extraordinary ability to take on open-ended problems in unstructured environments</li>\n<li>Ability to be adaptive and introspective; willingness to learn, teach, lead and follow</li>\n<li>Ability to travel as needed. Varies by location and team</li>\n<li>Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus</li>\n</ul>\n<p><strong>Offer Deadline</strong></p>\n<p>In an effort to build more transparency into our recruitment process, we&#39;d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer.</p>\n<p><strong>Life at Palantir</strong></p>\n<p>We want every Palantirian to achieve their best outcomes, that&#39;s why we celebrate individuals&#39; strengths, skills, and interests, from your first interview to your long-term growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir.</p>\n<p>Promoting health and well-being across all areas of Palantirians&#39; lives is just one of the ways we&#39;re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.</p>\n<p>In keeping consistent with Palantir&#39;s values and culture, we believe employees are &#39;better together&#39; and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for &#39;Remote&#39; work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office.</p>\n<p>If you want to empower the world&#39;s most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.</p>\n<p>Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you&#39;ve been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).</p>\n<p><strong>Additional Information</strong></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_2ad20d40-71a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/774cf5c9-bf6a-4d77-bf60-d50ef1beb1a0?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"Internship","x-salary-range":null,"x-skills-required":["Python","R","Matlab","SQL","Programming","Scripting","Statistical packages"],"x-skills-preferred":[],"datePosted":"2026-05-12T03:01:54.449Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, R, Matlab, SQL, Programming, Scripting, Statistical packages"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9825050-7fe"},"title":"Data Scientist, Social - PhD Early Career","description":"<p>We&#39;re on a mission to connect a billion people with optimism and civility, and we&#39;re looking for talented individuals to help us achieve this goal. As a Data Scientist on our Social team, you will work closely with our Social Connections team to identify opportunities for growing user connections, facilitating co-experiences, and enhancing social content discovery.</p>\n<p>You will leverage your technical expertise and analytical skills to design experiments, formulate product strategies, and conduct research to gain deeper insights into the Roblox social network, utilizing the latest AI capabilities. Additionally, you will contribute to communications, social sharing, and community features while collaborating with cross-functional verticals such as Discovery, Safety, and Creator.</p>\n<p>Your responsibilities will include designing, executing, and analyzing A/B tests to measure the impact of new features and inform product decisions, architecting and building robust data pipelines to support analytics, reporting, and modeling needs, conducting deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems, and contributing to the team&#39;s science roadmap by identifying key areas for analysis and experimentation.</p>\n<p>We&#39;re looking for individuals with a PhD or equivalent in Data Science, Biostatistics, Mathematics, or a related field, or a Master&#39;s degree with 3-5 years of experience. 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In this hybrid role, you&#39;ll collaborate with product managers, engineers, game designers, and quality teams to enhance player experiences and drive business outcomes through data.</p>\n<p>Reporting to the Manager of Analytics, you&#39;ll use your expertise to inform strategic decisions across product optimization, gameplay features, technology, testing, and overall quality.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Analysing player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation, and test coverage and bug metrics</li>\n<li>Building dashboards, reports, and visualisations that help stakeholders make better, faster decisions</li>\n<li>Contributing to the development of predictive models and other applications of machine learning that personalise player experiences or support product decisions</li>\n<li>Exploring and applying generative AI tools to increase the efficiency of your own work and support scalable insights</li>\n<li>Working with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making</li>\n<li>Presenting findings to both technical and non-technical audiences</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>3+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products</li>\n<li>Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R</li>\n<li>Experience with visualisation tools such as Looker, PowerBI</li>\n<li>Ability to translate business needs into technical data requirements</li>\n<li>Experience with or interest in using machine learning and generative AI tools to support analytics or player insights</li>\n<li>Excellent problem-solving and communication skills</li>\n<li>Ability to independently manage assigned tasks including work planning for assigned deliverables</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_850eaade-f76","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Senior-Data-Analyst/214109?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","R","Looker","PowerBI","Machine Learning","Generative AI"],"x-skills-preferred":[],"datePosted":"2026-05-11T19:06:36.109Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, R, Looker, PowerBI, Machine Learning, Generative AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f331c607-d6e"},"title":"Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)","description":"<p>As a Sr. Solutions Engineer at Databricks, you will lead the growth of the Databricks Unified Analytics Platform. You will exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. You will work with customers, your teammates, the product team, and our post-sales teams to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation to accomplish value.</p>\n<p>Your responsibilities will include:</p>\n<p>Partnering with the sales team to help customers understand how Databricks can help solve their business problems Providing technical leadership for customers to evaluate and adopt Databricks Consulting on big data architecture, implementing proof of concepts for strategic customer projects, data science and machine learning projects, and validating integrations with cloud services and other 3rd party applications Building and presenting reference architectures, how-tos, and demo applications for customers Becoming an expert in, and promoting Databricks-inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Traveling to customers in your region</p>\n<p>To succeed in this role, you will need:</p>\n<p>5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO) Secret security clearance or willingness to obtain one</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_f331c607-d6e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8415025002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$152,300-$209,450 USD","x-skills-required":["Cloud platforms","Data engineering","Data analytics","Data science and machine learning","Python","Scala","Java","SQL","R","Public cloud providers","AWS","Azure","GCP","Data Engineering technologies","Spark","Hadoop","Kafka","Data Warehousing","OLTP/OLAP/DSS","Data Science and Machine Learning technologies","pandas","scikit-learn","HPO"],"x-skills-preferred":[],"datePosted":"2026-05-11T18:06:00.945Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Maryland; Virginia; Washington, D.C."}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud platforms, Data engineering, Data analytics, Data science and machine learning, Python, Scala, Java, SQL, R, Public cloud providers, AWS, Azure, GCP, Data Engineering technologies, Spark, Hadoop, Kafka, Data Warehousing, OLTP/OLAP/DSS, Data Science and Machine Learning technologies, pandas, scikit-learn, HPO","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152300,"maxValue":209450,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cab17034-ea5"},"title":"Senior Pricing and Monetization Manager","description":"<p>We&#39;re seeking a Senior Pricing and Monetization Manager to join our Product Pricing &amp; Monetization team. As a member of this team, you will work closely with product, sales, marketing, data, engineering, and finance to develop and implement pricing and monetization strategies across our full product suite.</p>\n<p>Your primary responsibility will be to review and recommend monetization and pricing strategies for new product launches and our existing portfolio. You will also be responsible for owning and delivering on cross-functional projects and commercial go-to-market initiatives.</p>\n<p>In addition, you will help shift from a commercial strategy and operations function to an AI-powered builder program. You will be responsible for deciding, building, and monitoring key pricing and monetization KPIs across our product and go-to-market portfolio.</p>\n<p>As a Senior Pricing and Monetization Manager, you will be the pricing and monetization expert and go-to-partner for monetization and commercial strategy. You will work closely with key stakeholders such as product, product marketing, sales, data science, and finance.</p>\n<p>To be successful in this role, you will need to have a background in fintech, business banking, retirement, e-commerce, payroll, or HR back office SaaS. You will also need to have experience with AI-native operators who can go from strategy to execution quickly, building agents instead of processes.</p>\n<p>You will be responsible for presenting and working on topics for our executives, board, and senior leaders across Gusto. You will need to have exceptional cross-functional stakeholder management and relationship-building skills.</p>\n<p>The salary for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco &amp; New York. The salary range for Toronto is CAD 133,000 - 160,000.</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_cab17034-ea5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7904943?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$152,000 - $218,000/yr","x-skills-required":["fintech","business banking","retirement","e-commerce","payroll","HR back office SaaS","AI-native operators","cross-functional project management","commercial go-to-market initiatives","pricing and monetization strategies","key performance indicators","stakeholder management","relationship-building"],"x-skills-preferred":["clausal","cursor","gumloop","sql","python","r"],"datePosted":"2026-05-09T17:05:17.584Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO;San Francisco, CA;New York, NY;Las Vegas, NV;Atlanta, GA;Chicago, IL;Phoenix, AZ;Toronto, Ontario, CAN - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"fintech, business banking, retirement, e-commerce, payroll, HR back office SaaS, AI-native operators, cross-functional project management, commercial go-to-market initiatives, pricing and monetization strategies, key performance indicators, stakeholder management, relationship-building, clausal, cursor, gumloop, sql, python, r","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152000,"maxValue":218000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_79d004dc-87b"},"title":"Senior Pricing and Monetization Manager","description":"<p>We&#39;re on a mission to grow the small business economy. At Gusto, we handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers. Our Product Pricing &amp; Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto&#39;s full product suite.</p>\n<p>We&#39;re looking for a Senior Pricing and Monetization Manager to focus across our platform portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You&#39;ll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.</p>\n<p>As a Senior Pricing and Monetization Manager, you will:</p>\n<ul>\n<li>Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.</li>\n<li>Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.</li>\n<li>Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.</li>\n<li>Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.</li>\n<li>Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.</li>\n<li>Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.</li>\n</ul>\n<p>We&#39;re looking for someone with a background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS. You should also have experience with B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field. Additionally, you should be an AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.</p>\n<p>The ideal candidate will have a strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis. You should also have exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.</p>\n<p>You should be a clear, concise communicator, able to distill complex ideas for any audience. You should thrive in fast-moving environments; able to pivot quickly and manage competing priorities. 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Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p><strong>Director, Franchise Marketing Analytics</strong></p>\n<p><strong>Workplace Type:</strong> Hybrid (Los Angeles, CA or Vancouver, BC)</p>\n<p><strong>Reporting To:</strong> Senior Director, Franchise Marketing Analytics &amp; Enablement</p>\n<p><strong>Studio / Department</strong> The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, fan intelligence, and technology solutions. We connect teams with the data, insights, and tools needed to accelerate outcomes.</p>\n<p><strong>Impact</strong> You will lead marketing analytics strategy for EA Entertainment, guiding investment decisions across global franchises. You will shape how data informs growth, engagement, and retention by delivering clear insights to senior leaders and building scalable measurement frameworks.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead marketing analytics strategy across multiple EA Entertainment franchises (e.g. Battlefield, The Sims, Apex Legends)</li>\n<li>Act as trusted advisor to VP-level leaders to inform growth, engagement, and investment decisions</li>\n<li>Partner with other insights teams across EA to develop integrated, decision-ready guidance for business leaders</li>\n<li>Guide experimentation strategy and measurement frameworks across campaigns</li>\n<li>Oversee application of MMM, incrementality, and attribution methodologies</li>\n<li>Ensure analytics tools support key decision points and continuous optimization</li>\n<li>Lead, develop, and grow a team of analysts and managers</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>10+ years experience in marketing analytics, data science, or related field</li>\n<li>Experience leading analytics teams supporting global products or services</li>\n<li>Proficiency influencing VP-level stakeholders with data-driven recommendations</li>\n<li>Proficiency applying marketing measurement methods (MMM, incrementality, LTV)</li>\n<li>Experience developing team capability across analytics and stakeholder engagement</li>\n<li>Proficiency in SQL and Python or R</li>\n<li>Experience with data visualization tools (e.g., Tableau, Power BI)</li>\n<li>Bachelor’s degree in a quantitative field or equivalent experience</li>\n</ul>\n<p><strong>Core Skills and Experience</strong></p>\n<ul>\n<li>Proficiency defining analytics strategy across large organizations</li>\n<li>Proficiency connecting data insights to business and marketing outcomes</li>\n<li>Experience building scalable measurement and experimentation frameworks</li>\n<li>Experience working across cross-functional teams and global partners</li>\n<li>Clear communication of complex insights to executive audiences</li>\n</ul>\n<p><strong>Pay Transparency - North America</strong></p>\n<p><strong>COMPENSATION AND BENEFITS</strong> The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).</p>\n<p><strong>PAY RANGES</strong> \\\\\\<em> British Columbia (depending on location e.g. Vancouver vs. Victoria) \\\\</em>$160,700 - $224,700 CAD \\\\\\<em> California (depending on location e.g. Los Angeles vs. San Francisco) \\\\</em>$193,100 - $296,500 USD</p>\n<p>Pay is just one part of the overall compensation at EA.</p>\n<p>In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.</p>\n<p>For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.</p>\n<p><strong>_About Electronic Arts_</strong> We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</p>\n<p>We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. 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Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points</li>\n<li>Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline</li>\n<li>Work with the customer to build bespoke workflows for new user groups</li>\n<li>Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners&#39; operations</li>\n<li>Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives</li>\n<li>Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings</li>\n<li>Build and deliver demos to new and existing customers</li>\n<li>Scope out potential engagements in new industries and in increasingly expanding locations around the world</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>We value team members who aren’t satisfied with surface-level answers</li>\n<li>We value the desire to dive into the details of the data because that’s the core of our work</li>\n<li>We value low ego because the outcome matters more than who gets the credit</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>Ability to travel 25 – 75% required</li>\n<li>Active US Security clearance or eligibility and willingness to obtain a US Security clearance</li>\n</ul>\n<p><strong>Build to Apply</strong></p>\n<ul>\n<li>Identify a Problem &amp; Innovate with Data: This is your opportunity to identify a problem you care about, and come up with your own solution</li>\n<li>Submit a demo video: Showcase your project in a Submission Date: Please submit your application within 7-10 days of when you begin building</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Additional Information and Guidance: Questions? Check out and post in our Developer Community: https://community.palantir.com/ Running into technical roadblocks? Check out the Foundry and AIP docs. Looking for a crash-course in Foundry and AIP? Check out https://learn.palantir.com/ Want inspiration? Check out how Foundry and AIP are used to solve problems across industries. Want to see what the rest of the AIP community is building? Check out or contribute to our AIP Community Registry on Github. Generating notional data? Refer to product documentation to learn how to do this in Foundry. Want to know how we use your data? 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