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.

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

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.

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.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

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.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

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 development, maintenance, and monitoring of credit risk models and loss forecasts. Extract and analyze large datasets with Python/SQL, automate reporting and dashboards, perform EDA and stress/sensitivity analyses, document audit-ready model deliverables, support model governance/validation, and communicate insights to stakeholders to inform credit policy and decisioning.

Lead GTM-focused data science initiatives: build revenue forecasts, apply causal inference, develop AI-enabled sales and retention solutions, partner with Product/Growth/Commercial teams, and translate analyses into scalable, automated workflows and executive-ready recommendations.

Partner with Growth, Marketing, Sales, and Product to measure and optimize marketing and growth initiatives. Build dashboards and scalable measurement frameworks, design experiments, analyze ROI and trends, provide actionable recommendations, and communicate results to technical and non-technical stakeholders.

Partner with Product and Engineering to define product metrics, design experiments and causal analyses, build reporting and models, analyze user behavior and segments, and translate insights into product recommendations while establishing Product Data Science practices.

The role involves building the marketing data science function, developing metrics, dashboards, and models to analyze marketing effectiveness, and fostering a data-informed culture.

The Staff Data Scientist will partner with teams to enhance Moloco's creative systems through data strategy, measurement frameworks, and product influence, ensuring competitive advantage.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

Lead product analytics for Spending, driving experimentation, causal measurement, metric frameworks, and dashboards. Partner cross-functionally to surface insights, guide product roadmaps, mentor on experimentation, and ensure analytics drive member engagement and retention.

Lead product-focused trust & safety analytics: design experiments, run causal measurement, build metric frameworks and dashboards, translate member behavior into product recommendations, and partner cross-functionally to drive adoption and impact.

Lead product-focused analytics and experimentation for Growth: design and analyze A/B tests, build metrics and dbt data pipelines, apply causal inference and ML, enable self-service analytics, improve funnels and retention, and translate insights into executive recommendations to drive member acquisition, conversion, and long-term value.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

Own the end-to-end analytical function for a business unit (growth, product, AI, or partnerships): define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions with stakeholders to deliver measurable business impact.

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

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.

The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.