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

The Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure for business intelligence and analytics at Endpoint. This role involves building ETL/ELT pipelines, managing data warehouses, integrating various data sources, and ensuring data quality. The engineer will also collaborate with stakeholders to understand data needs and develop BI tools and dashboards for insights.

The Biostatistical Manager will provide strategic input for product pre-launch and post-launch activities, assist in study protocol preparation, statistical analysis plan development, and lead reporting for clinical and real-world evidence studies. Responsibilities include collaborating with teams, managing publications, and advancing statistical methodologies relevant to industry developments.

As a Data Scientist at Notion, you will collaborate with engineering and product teams to leverage data in decision-making. Your responsibilities include statistical analysis, designing experiments, building predictive models, developing dashboards, and communicating insights to influence product development.

The Sr Director of Business Analytics will lead the analytics team to identify insights and opportunities driving business growth, mentor team members, guide data-driven strategies, and serve as a strategic advisor to the executive team.

As a Data Science Senior Manager, you will lead a team of data scientists to develop AI-powered features for healthcare solutions, fostering a culture of excellence and collaboration. You will work on projects involving large language models and generative AI, while also mentoring team members and engaging with cross-functional partners to improve patient experiences and drive business value.

As the Director of Data Science and AI, you will lead a team to develop and deploy ML models, drive AI strategies, enhance data infrastructure, and collaborate with stakeholders to deliver customer-centric analysis and initiatives.

The Senior Data Engineer will lead the development and evolution of a modern data lakehouse, documenting processes and translating requirements into effective data models. Responsibilities include using data technologies, managing project lifecycles, mentoring team members, and providing on-call support.