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

Lead observational studies, derive insights from clinical data using advanced statistical methods, and mentor junior scientists while collaborating with pharma partners.

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

The Staff Data Scientist will use economics and data science to drive business decisions, analyze usage patterns, and collaborate with teams for product improvement.

The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.

The Senior Data Scientist will leverage data to inform product strategy and business decisions, conduct analysis, build models, and support stakeholders through data-driven insights.

As a Staff Data Scientist, you will analyze data to guide product strategy, develop A/B testing frameworks, and create metrics for success in collaboration with product teams.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

As a Staff Data Scientist, you will design and interpret experiments, mentor others, and communicate findings to influence product development and marketing strategies.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

As a Senior Data Scientist, you'll leverage data analysis, A/B testing, and machine learning methods to drive product improvements and influence decision-making across teams at Plaid.

The Data Scientist, Integrity will design and implement fraud detection systems, collaborate across teams, and stay ahead of misuse trends using advanced models.

The Data Scientist will drive data-informed decision making at Anthropic, partnering with product and engineering teams to analyze data, derive insights, and shape the platform roadmap for AI products.

The role involves collaborating on product and business problems, applying technical expertise in data analysis, and influencing strategy decisions through data insights.

Lead end-to-end data science projects at Poshmark, focusing on machine learning, model development, and business impact. Collaborate with cross-functional teams and innovate with AI technologies.

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 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.

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.

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.

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

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