Top Data Science Jobs in San Francisco Bay Area, CA

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

As a Data Scientist, you'll design AI solutions for health behaviors, applying NLP to clinical data, building evaluation pipelines, and developing generative AI applications while collaborating with cross-functional teams.

The role involves developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.

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

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

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

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 Data Scientist will develop scalable machine learning pipelines, enhance data analysis processes, and present findings using advanced mathematics in a sports-related context.

The Staff Data Scientist analyzes large healthcare datasets, develops predictive models, and collaborates with teams to enhance product development and decision-making.

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.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The Data Scientist will develop data-driven solutions to measure and manage credit risk using machine learning methodologies, mentor junior scientists, and collaborate with stakeholders to inform decision-making.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

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 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 Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

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.

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 a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.