Top Hybrid Data Science Jobs in San Francisco, CA

Lead the data science team focused on growth strategies, utilizing advanced analytics, machine learning, and experimentation to drive measurable impact in user acquisition and revenue growth.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

The Senior Staff Data Scientist leads data-driven insights for product development and strategy in the investment sector, collaborating with cross-functional teams and optimizing portfolio performance.

As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.

The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

As a Forward-Deployed Data Scientist II, you will collaborate with customers to define use cases, improve data pipelines, and advance ML models while providing technical expertise for successful customer outcomes.

The Data Scientist will build predictive models, design data pipelines, conduct analyses, and deploy solutions in a collaborative environment.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

As a Data Scientist, you will define metric goals, create dashboards for stakeholders, manage data pipelines, and optimize data solutions.

The Operations Data Scientist at Kikoff will enhance operational efficiency by analyzing data, developing AI tools, and collaborating with cross-functional teams, focusing on improving customer and agent outcomes.