Top Hybrid Data Science Jobs in San Francisco, CA

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.

Collaborate with teams to enhance geospatial data and metrics, build data pipelines, and drive data-informed decisions in autonomous vehicle projects at Zoox.

The Data Science Manager will oversee data science teams, shape analytical frameworks, and guide technical direction for analytics projects while collaborating with stakeholders.

The role involves designing statistical methodologies for emissions datasets, building quality data pipelines, analyzing sustainability data, and mentoring other data scientists and engineers.

The Principal Data Scientist will analyze data, develop predictive models, and apply AI/ML to enhance healthcare quality and outcomes.

As a Staff Data Scientist II, you'll develop AI-driven monetization strategies and lead the design of scalable machine learning systems, collaborating across teams to innovate ad technology.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

The Data Science Intern will work on improving ad-tech systems and conducting deep-dive analyses to optimize bidding strategies, while designing experiments and providing insights for product decisions.