Top Data Science Jobs in San Francisco, CA

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

Lead end-to-end data science initiatives including designing, deploying, and monitoring production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain production pipelines and monitoring systems to drive measurable business impact.

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.

Interns develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. They identify trends, evaluate emerging data technologies, collaborate with clients and stakeholders, and communicate analytical findings. The role requires strong quantitative skills, research orientation, critical thinking, and proficiency with Python, SQL, Pandas, PySpark, and modern AI and deep learning methods.

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.