Top Data Science Jobs in San Francisco, CA

Analyze billing patterns, healthcare claims, and complex datasets to identify anomalies and integrity issues. Build risk-monitoring pipelines, compliance dashboards, and proactive safeguards for the Trust and Safety team. Translate technical findings into clear risk assessments for legal, compliance, and executive stakeholders while supporting regulatory compliance and protecting patient care.

Senior Data Scientist role at Belvedere Trading, focused on providing liquidity through trading activities and leveraging proprietary technology.

Develop and deploy causal inference models to quantify business impact of new products, provide mentorship, and guide product strategy.

Belvedere Trading is seeking a Research Scientist specializing in Data Science to enhance their proprietary technology and analytics. The role involves statistical analysis and applying data science methodologies to support trading operations.

Belvedere Trading seeks a Research Scientist in Data Science to contribute to proprietary technology within their trading firm.

As a Research Scientist focused on Data Science, you will engage in market research and data analysis to enhance trading strategies at Belvedere Trading.

Develop advanced analytics and machine learning models for client business challenges, analyze complex healthcare and pharmaceutical datasets, and translate findings into actionable recommendations. The role includes client communication, presentation development, analytical workstream ownership, project coordination, mentoring junior staff, and building client relationships. Consulting experience and the ability to explain complex analytical concepts to nontechnical audiences are essential.

As a Data Scientist, you will analyze customer behavior and business performance, frame business questions, build models, and enable teams with analytics insights to drive strategic decisions across the company.

As a Data Scientist at Retool, you will analyze customer behavior and product usage to provide insights that drive business decisions. You'll work with various teams to frame business questions into analytical strategies, identify customer friction, and aid in data-driven decision-making.

Lead development, maintenance, and monitoring of credit risk models and loss forecasts. Perform EDA, build pipelines in SQL/Python, automate reporting and dashboards, document audit-ready methodologies, and communicate insights to stakeholders while supporting governance, validation, and model improvement efforts.