Top Data Science Jobs in San Francisco Bay Area, CA

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

As a Data Scientist, you will shape data science efforts, work with teams to understand product usage, mentor junior staff, and build data products.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.

The Senior Data Scientist will develop and validate AML models, oversee implementation, ensure compliance with regulations, and collaborate with governance units.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.

The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

As the first Data Scientist, you will build models and algorithms from scratch, impacting the company's success in optimizing insurance portfolios.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Data Scientist II will oversee data management, design study protocols, train staff, lead report development, and manage client activities using project frameworks.

As a Data Scientist on the Decisions & Insights team, you will conduct experiments, develop models, and provide insights to enhance business strategies, collaborating closely with stakeholders.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

As a Data Scientist, you will develop advanced fraud detection models, collaborate with teams, analyze data for insights, optimize models, and ensure compliance with data privacy.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

Lead end-to-end data science initiatives, developing AI solutions for personalization, marketing, and product experience while collaborating with cross-functional teams on machine learning models.

The Data Scientist in Integrity will develop anti-fraud systems, collaborate with various teams, and utilize advanced models to combat abuse effectively.

As a Staff Data Scientist, you'll lead measurement frameworks, predictive models, and AI analytics in marketing and product, driving user engagement and business outcomes.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.