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

As a Manager of Data Science at Atlassian, you will lead a high-performing team in leveraging data analytics to drive product insights and strategic decisions. You'll collaborate with various cross-functional partners, use statistical techniques to solve complex business problems, and help the team grow through coaching and mentorship.

As a Senior Data Scientist in Acquisition Marketing, you will create models to optimize marketing ROI, analyze A/B experiments, and derive insights from large datasets. Collaborating with cross-functional teams, you will influence marketing strategies and facilitate decision-making through data visualizations and metrics reporting.

As a Product Data Scientist, you'll lead client engagement by delivering advanced analytics solutions, managing cross-functional teams, developing algorithms, and presenting impactful insights. Your role will encompass problem-solving, client management, and thought leadership while mentoring junior team members.

The role involves using AI/ML expertise to develop and innovate large language models (LLMs) for an AI-first platform. Responsibilities include addressing real-world challenges, designing and scaling LLMs, collaborating with cross-functional teams, and overseeing projects from research to deployment.

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.

The Sr. Distinguished Applied Researcher at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include building AI foundation models, leading strategic direction in AI research, and translating complex research into business goals. The role requires significant expertise in AI methodologies and model development.

The Senior Data Scientist will develop and deploy analytic models to support GM Marketing strategies. Responsibilities include collaborating with cross-functional teams, applying advanced data-driven modeling techniques, and communicating insights effectively. A focus on marketing analytics, A/B testing, and measuring media performance is essential.