Top Hybrid Data Science Jobs in San Francisco, CA

The Senior Data Scientist will lead initiatives to improve Moloco Ads effectiveness, engage with advertisers, provide measurement consultation, generate insights, optimize campaigns, and collaborate on product development.

The Data Scientist will analyze data to enhance business performance, engage customers, and optimize product strategies through experimentation and metrics establishment.

As a Data Scientist, you will develop data-driven solutions, create visualizations, and support data integration for energy projects applying machine learning and AI techniques.

As a Data Scientist, you will own analytical projects that influence product decisions and marketing campaigns. You'll apply statistical methods and predictive modeling to enhance customer value and drive business outcomes, collaborating cross-functionally to integrate insights into strategies.

Own end-to-end data science and ML work for B2C customers: build recommendation, forecasting, segmentation, and activation models; design A/B tests and causal analyses; create configurable multi-tenant model architectures; extract signal from sparse/noisy data; partner with engineering to productionize models and deliver analyses that change business decisions.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Lead the Data Science function to innovate AI-powered identity and compliance solutions, managing a high-performing team and developing advanced ML systems.