Top Data Science Jobs in San Francisco Bay Area, CA

The Senior Data Scientist will develop ML models, design experiments, analyze product performance, and collaborate with teams to enhance AI product offerings.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Senior Data Scientist will architect analytical frameworks, develop metrics, influence product strategies, and ensure data quality for product intelligence.

As a Senior Data Scientist, you'll solve optimization problems, build and productionize machine learning models, and drive data-driven strategies to enhance Lyft's marketplace efficiency.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

As a Full-Stack Data Scientist at Stitch Fix, you will develop customer-oriented solutions in recommendation systems and search engines, impacting business outcomes and collaborating with teams to innovate client-facing products.

As a Senior Data Scientist, you'll design data-driven solutions, analyze performance, collaborate across teams, and communicate insights to drive decision-making.

The Principal Data Scientist will analyze data, develop predictive models, and apply AI/ML to enhance healthcare quality and outcomes.

The Senior Data Scientist will develop and enhance predictive models using data from various sources to improve healthcare outcomes and operational efficiency. They will analyze data, collaborate with teams, and utilize emerging AI technologies for healthcare applications.

The Senior Data Scientist will measure and analyze data impact for AI products, define KPIs, shape product development, and develop analytics models to enhance decision-making processes.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Senior Data Scientist will oversee experiment design and analysis for user migration initiatives, collaborating with cross-functional teams and utilizing advanced statistical methods for decision-making.

As a Senior Data Scientist at Netflix, you'll lead experimentation and statistical modeling in game verticals, influencing data-driven decisions and presenting insights to stakeholders. You'll utilize your extensive experience in data science and statistics to enhance game development processes.

As a Senior Data Scientist, you'll shape data science at Sentry, developing impactful models, partnering with cross-functional teams, and ensuring production deployment of analytics systems.

The Principal Data Scientist develops and deploys machine learning models for operational and clinical uses, performs analyses, and collaborates with various stakeholders.

Lead design, development, and maintenance of fraud-risk and predictive models, architect ETL and storage for large datasets, manage analytic projects and teams, document solutions, research new techniques, and communicate technical results to stakeholders.

The Principal Data Scientist leads AI innovation initiatives, focusing on prototyping, evaluating AI systems, and translating research into enterprise products, while mentoring teams and shaping Genentech's AI capabilities.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.