Top Senior Data Science Jobs in San Francisco Bay Area, CA

The Staff Machine Learning Engineer will contribute to advanced research in machine learning and AI, focusing on modeling, data analysis, and problem-solving across multiple applications such as growth and discovery. Responsibilities include writing sustainable code, conducting research, and collaborating with cross-functional teams.

The Senior Credit Analyst will drive Step's Lending projects by building pricing models, creating customer risk profiles, conducting credit risk analysis, and collaborating with cross-functional teams for product performance insights.

The Senior Data Scientist will drive product strategy at Reddit through data analysis, experimentation, and causal analysis. Responsibilities include creating insights from data, enhancing experimentation practices, developing data tools, and mentoring junior data scientists. The role requires collaboration with various stakeholders to align on business goals and improve data literacy across teams.

Lead analytical development and quality control for AAV gene therapy and other biologics, design and implement assays, manage external collaborations, ensure compliance with regulations, and contribute to continuous improvement efforts in a collaborative environment.

As a Research Scientist, you will investigate fundamental questions of intelligence and knowledge to develop advanced software. Collaborating with internal and external researchers, you will run machine learning experiments and mentor a small team of research engineers.

As a Senior Data Scientist at Faire, you will develop and maintain machine learning models to optimize shipping costs, assess retailer creditworthiness, and enhance product listings through AI. Collaborating with a skilled team, you will tackle diverse challenges to empower local businesses in a competitive marketplace.

The Data Science & Analytics Manager will lead a team of Data Analysts within Lyft's P&L management team, focusing on strategic investment and analytics. Responsibilities include mentoring team members, prioritizing projects, analyzing business problems, and presenting findings to stakeholders. The role emphasizes collaboration across teams to shape investment strategies and improve processes.