Top Data Science Jobs in San Francisco Bay Area, CA

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

The Sr. Data Scientist develops AI/ML solutions, builds data pipelines, mentors technologists, and collaborates with teams to meet operational goals.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior Data Scientist at Bluesight will develop machine learning models, collaborate on analytics projects, communicate findings, and elevate the analytics team's skills.

As a Senior Data Scientist, you will design and deploy machine learning and graph algorithms to enhance identity trust solutions, own end-to-end projects, and collaborate with product and engineering teams to improve KYC and compliance products.

You will lead data analytics to improve product strategies, analyze large datasets, build data models, and influence business decisions through insights.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

The Senior Data Scientist will drive causal inference initiatives, develop measurement systems, mentor colleagues, and collaborate on product innovations to enhance the rider experience.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.

The Senior Data Scientist will analyze data to support product features, conduct quantitative research, and collaborate with cross-functional teams to enhance creator monetization efforts.

The Senior Data Scientist will develop machine learning models, conduct A/B tests, and work with behavioral data to enhance customer engagement and partner ROI.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

As a Senior Data Scientist, you will shape product development using data, define success metrics, and validate hypotheses through advanced analytical techniques.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, developing solutions and collaborating across teams.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

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.