Top Data Science Jobs in San Francisco Bay Area, CA

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Lead Data Scientist will design and deliver ML/AI solutions, analyze data, present insights, and collaborate with teams to solve business problems.

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.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

The Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

The Credit Strategy Lead will analyze data to propose credit risk strategies for lending products, collaborate with teams to drive revenue, and develop innovative risk management approaches.

The Senior Data Scientist will analyze business challenges, conduct experiments, develop metrics, and collaborate with teams to drive data-driven decisions and user growth.

The Data Scientist will analyze ambiguous problems, drive data-driven decision making, manage data metrics, and lead experimental rigor while collaborating with teams to improve Coinbase products.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The Principal DSX Data Scientist leads the development of scalable tools and statistical platforms, driving automation, workflow optimization, and collaboration in data-driven decision-making across Product Development Data Sciences.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Staff Data Scientist will lead data science projects, prioritize analyses, develop metrics, and work cross-functionally to inform business decisions. Responsibilities include rigorous analysis, stakeholder communication, and developing measurement plans for initiatives.

The Senior Data Scientist will optimize game features and enhance player engagement through data analytics, modeling, and presentations to strategic partners.

As a Staff Data Scientist, you'll lead measurement frameworks, predictive models, and AI analytics in marketing and product, driving user engagement and business outcomes.