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

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As the first Data Scientist, you will build Luma's data science infrastructure, define key metrics, and support product and growth initiatives through data-driven insights.

As a Senior Data Scientist, you will solve machine learning problems in payment risk and build end-to-end ML solutions impacting business. Responsibilities include data analysis, model deployment, and collaboration with teams.

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.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Senior Data Scientist develops machine learning models, analyzes complex datasets, collaborates with stakeholders, and communicates insights through visualizations and reports.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Senior Staff Data Scientist at SmithRx, you'll lead the Data team in delivering data-driven insights, mentoring talent, and driving product and business impacts through experimentation and advanced analytics in a healthcare context.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

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