Top Senior Data Science Jobs in San Francisco Bay Area, CA

As a Senior Data Scientist, the role involves leveraging data analysis, experimentation, and statistical methods to influence business decisions and enhance Gusto's product performance, while mentoring team members.

Lead AI and GenAI data science engagements: perform advanced analytics, build predictive models, design data pipelines and warehouses, validate large datasets, produce data visualizations, coach teams, and advise clients on data-driven solutions and systems-level opportunities.

Build actuarial and health-economic models (total cost of care, PMPM, MLR) from claims to project multi-year cost and utilization impacts, quantify uncertainty, support commercial pricing, defend analyses to payer actuaries, partner on causal/expt design, and produce outputs usable for pricing/reserving.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

Lead end-to-end direct mail marketing campaigns: define targeting and suppression logic, execute and validate data pipelines, manage offshore execution, measure ROI and experiment results, partner with marketing and third parties to optimize audiences and campaign performance, and present insights to senior leadership.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, design A/B and bandit experiments, develop pricing automation (DealBot) and monitoring for AI-driven rate recommendations, own ETL/analysis/visualization, and partner with Finance, Risk, Product, and GTM teams to operationalize pricing intelligence.

Partner with Digital Assets, Finance, Treasury, and Risk to design measurement frameworks, perform strategic analysis and modeling, build scalable SQL-driven automation and dashboards, analyze on-chain and finance data, create visualizations, and drive data-informed product decisions for USDC and related digital asset offerings.

Lead GTM data science initiatives to build revenue forecasting, causal inference analyses, and AI-enabled solutions that improve sales, retention, and expansion. Partner with Product, Growth, and Commercial teams to operationalize insights, communicate findings to stakeholders, and mentor junior data scientists.

Lead end-to-end pricing experimentation and strategy for consumer and business products. Design and analyze A/B tests, build pricing models and production-grade data pipelines, partner cross-functionally, and present actionable recommendations to senior leadership.

The Data Scientist will build predictive models, design data pipelines, conduct analyses, and deploy solutions in a collaborative environment.

Technical lead for Growth Analytics: partner with Growth/Marketing/Sales to identify opportunities, design experiments and statistical models, build scalable measurement frameworks, mentor junior data scientists, translate business questions into analytic solutions, and communicate insights to drive acquisition, activation, retention, and reactivation.

The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

Embed within a core business area to define problems, build metrics, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI/automation, or partnerships.

Embed with a core business area to define problems, build metrics/reports, run analyses and experiments, and drive data-informed decisions end-to-end. Translate ambiguous questions into clear hypotheses, surface insights, and partner with product, growth, finance, and ops to execute recommendations and deliver measurable business impact.

Own People & Talent data domain: design and govern HR/recruiting data models and pipelines, build dashboards and self-serve analytics, partner with cross-functional teams, enable AI-powered insights, and improve automation, data quality, and access for global people decisions.

Analyze large, diverse datasets (claims, hazard, geospatial) and apply advanced data science, ML, and AI to model catastrophe, hazard, exposure, and man-made risks. Evaluate vendor models, develop internal risk views and tools, collaborate with domain experts, and support underwriting decision-making and account-specific risk analyses.

Lead measurement and experimentation for Waymo growth marketing: design incrementality tests (geo holdouts, switchbacks), build LTV and CAC frameworks, run media mix modeling and deep-dive analyses across channels, audiences, creatives, and geos to optimize acquisition and connect marketing performance to business outcomes.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

Lead product-focused analytics and experimentation to improve core experience and AI initiatives. Build propensity models and segmentation, create automated dashboards and executive reports, run and monitor experiments, and partner cross-functionally to translate analysis into business impact and drive product decisions.