Top Data Science Jobs in San Francisco Bay Area, CA

The Early Career Data Scientist/Economist will use their expertise in economics and data science to drive strategic decision-making, develop forecasts, and collaborate on analytics strategies at EvenUp.

As a Data Scientist I on the Integrity team, you will analyze user behavior and develop metrics and models to support product decisions, improving user experience through data insights and experimentation.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Data Scientist will develop data analysis frameworks, perform data curation, identify patterns, and communicate insights to improve trading strategies at Voleon Securities.

The Staff Data Scientist will enhance Bitcoin adoption through data analysis, collaboration with teams, and building data foundations for product growth.

As a Senior Data Scientist for Bitcoin at Block, you'll drive product strategy, analyze experiments, and build data tools to enhance bitcoin adoption across Cash App and Square.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Data Scientist role involves creating and managing datasets for LLMs, developing high-throughput data processing scripts, and employing statistical analysis to ensure data quality and performance.

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, collaborate with cross-functional teams to solve mathematical problems, optimize pricing models, and analyze data for business opportunities.

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

The role involves analyzing ad performance, providing data-backed recommendations, leading data science projects, and mentoring team members to enhance advertiser value through data insights.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

Lead scientific initiatives using biostatistics to inform drug discovery and clinical trial design. Guide data science methodologies and collaborate across 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.

As a Data Scientist, you will develop, deploy, and analyze models, collaborating with teams to solve business problems and improve data quality.

Conduct analysis, guide data metrics, oversee ETL jobs, and ensure statistical rigor. Collaborate with teams to drive impactful data science projects.

The Data Scientist will drive analytics solutions using statistical and machine learning techniques, collaborating cross-functionally to enhance operational efficiencies.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The Data Scientist will own product analytics, partnering with teams to transform data into insights, build dashboards, and support product growth.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

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.