Top Senior Data & Analytics Jobs in San Francisco Bay Area, CA

As a Senior Research Scientist at Sofar, you'll lead AI/ML R&D efforts, develop prediction algorithms, collaborate on data-pipelines, and engage with various departments to transition research into products. You'll also take charge of grant applications and oversee both research and operations transitions.

The Senior Manager of Data for Paid Placement will lead a team of data scientists, define technical strategy, and contribute to overall data organization. Responsibilities include project execution, roadmapping, and collaboration with cross-functional teams to achieve significant business impact through data science and machine learning initiatives.

As a Senior Data Scientist at Pinterest, you will lead complex projects involving quantitative modeling and experimentation. You will work with cross-functional teams to analyze user behavior, improve user experience, and develop metrics that drive product evolution. Additionally, you will establish best practices for data analysis and experimentation, influencing product development decisions.

The Senior Machine Learning Engineer will work within the Perception and Prediction team to drive project impact for autonomous vehicles, focusing on formulating problems, architecting solutions, and implementing state-of-the-art machine learning algorithms for various applications.

The Staff Machine Learning Engineer will lead a lean team to develop AI-driven products, focusing on Generative AI and Recommendations. Responsibilities include setting technical direction, mentoring peers, and collaborating with product managers to build experiments and provide insights for product decisions.

As the Senior Manager of Product Data at Slickdeals, you will lead a team of analysts and data scientists, define product health metrics, support product strategy with quantitative insights, and collaborate with Data Engineering to optimize data pipelines and access. Your role will empower decision-making through effective data visualizations and strategic analysis.

The Staff Compensation Analyst at Strava will manage the global compensation strategy, analyze pay equity, maintain salary ranges, and ensure alignment with competitive market data. They will collaborate across teams to provide insights for workforce planning, conduct compensation cycles, and prepare reports for leadership, all while promoting equitable pay practices.