Top Data Science Jobs in San Francisco Bay Area, CA

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

The Junior Data Scientist will develop and evaluate statistical and AI-driven models to analyze CRE market behavior, pricing dynamics, and investment conditions while collaborating with stakeholders to provide actionable insights.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

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

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

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.

Lead a team in developing computational methods for biomarker data analysis, collaborate with scientists, and execute statistical strategies for drug development.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.

You will develop causal inference models, optimize pricing strategies, and improve marketplace ranking through collaboration and innovation in data science.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The Data Scientist will define success metrics for recruiting systems, design measurement frameworks, and translate signals into impactful decisions while collaborating with Product and Engineering teams.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Senior Data Scientist will develop ML models, design experiments, analyze product performance, and collaborate with teams to enhance AI product offerings.

As a Senior Data Scientist, you'll leverage data to shape business decisions and drive initiatives to reduce accident frequency and claims. You'll partner with various teams to design experiments and predictive models for risk optimization.

The Marketing Data Scientist will optimize marketing performance, develop predictive models, and enhance decision-making through data analysis and AI-powered tools.