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 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.

Build production-grade, responsive web dashboards and reusable UI components (React/TypeScript) for autonomy datasets. Create advanced visualizations (time-series, geospatial, 3D trajectories, real-time streaming), optimize frontend data flow and performance, design intuitive UX and design systems, connect to APIs/databases, perform client-side processing, and collaborate with data scientists and engineers to deliver analytics tools and reporting.

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.

The Research Scientist in Data Science is responsible for leveraging advanced statistical methods and machine learning to support trading strategies and improve processes.