Top Data Science Jobs in San Francisco, CA

As a Data Scientist, you'll analyze customer behaviors and product performance, build models to influence strategies, and support decision-making across teams.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Drives data science strategy, prioritization, executive partnership, product adoption, revenue growth, experimentation, causal inference, predictive modeling, and AI adoption. Establishes technical and organizational standards, develops leaders, builds succession, and partners with data and analytics teams on a shared roadmap.

Leads GitLab’s Product, Sales, and Finance Data Science teams, driving growth, product adoption, consumption revenue, and executive decision-making. Sets organization-wide standards for experimentation, causal inference, predictive modeling, metrics, and AI. Manages managers and senior individual contributors, prioritizes investments, develops talent, builds cross-functional partnerships, and ensures data science delivers measurable business impact.

Leads data scientists and analysts in developing, deploying, and governing machine learning, AI, and advanced analytics solutions. Responsibilities include predictive modeling, data pipeline collaboration, model scaling, stakeholder reporting, data strategy, team mentoring, technology evaluation, and managing project timelines, resources, budgets, and performance metrics.

Manage accounting operations, reconciliations, journal entries, billing analysis, revenue recognition, financial statements, budgeting, forecasting, audits, tax schedules, and process improvements. Ensure GAAP compliance, analyze financial data, allocate expenses, and support strategic decision-making. The role requires strong accounting knowledge, analytical and communication skills, advanced Excel proficiency, and experience with accounting systems.

Conduct research in data science to enhance trading strategies and decision-making processes at Belvedere Trading. Collaborate with teams to apply innovative data-driven approaches.

Build predictive 2D/3D models and scientific computing tools to predict ore-grade mineralization; integrate geospatial, geochemical, and geophysical data; quantify uncertainty; produce visualizations; design field-data programs and collaborate with geoscientists and external partners to guide exploration.

Belvedere Trading seeks a Research Scientist in Data Science to enhance trading strategies through data analysis and technology innovations.

The Research Scientist in Data Science will be involved in developing innovative trading strategies and enhancing proprietary technology for market-making activities.

The Research Scientist (Data Science) will work on proprietary technology for trading, focusing on analytics and improvement of trading strategies.