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

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 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 lead advanced analytics and AI/ML model development, collaborating on projects, mentoring junior members, and applying statistical expertise for strategic insights.

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.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

Seeking a Data Scientist with 8-10 years of data science experience, including 2-4 years in manufacturing. Requires skills in building scalable data pipelines, ML model deployment, and strong communication with stakeholders.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.