Top Data Science Jobs in San Francisco, CA

The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.

The Senior Data Scientist will analyze large-scale data problems to influence business decisions and enhance product performance across various teams. Responsibilities include developing statistical analyses, machine learning models, and creating actionable dashboards while mentoring others in data science best practices.

The Facilitator for the Data Science program will mentor a small group of up to 5 learners online, facilitating discussions twice a week and providing feedback on their projects. They will apply real-world concepts to the curriculum and foster a collaborative learning environment. This role requires strong leadership skills and a commitment to empowering students.

As a Senior Data Scientist at StackAdapt, you will build predictive and optimization models for internal business operations, forecast revenue, and support financial health through machine learning models. You will work closely with company teams and write production code to implement algorithms.

As a Staff Data Scientist on the Marketing Technology team, you will develop causal inference methods and Bayesian models to analyze marketing effectiveness. Your role will include designing and conducting experiments, generating insights to optimize marketing spend, and collaborating with various stakeholders to enhance brand measurement.

As a Data Scientist at Reveleer, you'll build and enhance machine learning models for healthcare data analysis. You'll work with engineering teams to implement models into production and leverage advanced AI and NLP technologies.

The Senior Scientist will develop and implement quantitative pharmacometric strategies to enhance biomedical decision-making. Responsibilities include leading collaborations, conducting modeling and simulation, and preparing reports for drug development programs.