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

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 Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Senior Data Scientist will develop predictive models, apply machine learning for marketing initiatives, and optimize growth strategies by collaborating with cross-functional teams to drive customer acquisition and retention.

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 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.

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

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Data Scientist in Feature Engineering at Voleon, you will curate complex datasets, develop predictive features, validate signals, build data pipelines, and leverage AI tools for analysis.

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

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 leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Senior Data Scientist, you'll build machine learning models for infrastructure cost prediction, enhance experimentation methods, and collaborate across teams to improve data quality and impact evaluation.

As a Data Scientist, you will improve sponsored search capabilities, analyze data for insights, and implement ranking improvements using machine learning techniques.

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.

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 will develop and maintain models for asset valuation and portfolio management, perform statistical analysis, enhance data capabilities, and work with various teams to solve complex business problems in real estate investment lending.

As a Data Scientist, you will solve complex data problems using AI and machine learning, develop prototypes, and contribute to product strategy.

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

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.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

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.