Top Hybrid Data Science Jobs in San Francisco, CA

The Senior Data Scientist will analyze data to support product features, conduct quantitative research, and collaborate with cross-functional teams to enhance creator monetization efforts.

The Senior Data Scientist II will work on Precision Medicine and related projects, developing innovative solutions for data analysis and visualization, while collaborating with various teams to enhance drug discovery and development processes.

The Data Scientist at Tempo will develop insights from blockchain data to improve payment systems, collaborate on metrics and infrastructure, and provide analytical guidance.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

Lead the data strategy and analytics for Hinge Health's treatment experiences and hybrid care offering. Manage a team of Data Scientists, oversee data quality, and develop experimentation frameworks.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

Lead and grow a team of data scientists, focusing on product strategy and data quality. Collaborate across departments to drive data-driven insights.

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

Lead Data Scientist responsible for analyzing large datasets, building data models, creating analytics features, and improving data quality for audit insights.

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.