Top Senior Level Data Science Jobs in San Francisco Bay Area

As a Senior Manager, you will lead compliance monitoring data analytics initiatives, ensuring adherence to ethical standards and regulations using advanced data analytics techniques.

As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving foundational Data services for AI and ML solutions. You will collaborate with AI Product Managers, engineers, and BUs to research, troubleshoot, and resolve data requests. The role requires a deep understanding of the NOW platform and the ability to address issues effectively and timely.

Develop standardized data models to access multi-modal real-world data (RWD) from disparate sources and generate regulatory-grade real world evidence (RWE) in support of GRAIL's mission to detect cancer early.

Seeking a Senior Applied Scientist to improve targeting and optimization products by applying machine learning models and collaborating with cross-functional teams. Must have hands-on experience in ML and data products, an MS or PhD in a quantitative discipline, and expertise in data science topics.

The Senior Growth Data Scientist will play a key role in leveraging data and technology to help the marketing team at Verkada run better, faster, and smarter. This role involves conducting statistical analyses, building revenue optimization models, and working cross-functionally to align Marketing planning with corporate strategy.

Join the Risk Data Science and Analytics Team at Square as a Data Scientist to improve risk controls through statistical and analytical techniques. Lead experiments to prevent fraud and influence global roadmaps. Must have 8+ years of experience in data-driven solutions, machine learning, and statistical knowledge.

Looking for a Senior Data Scientist to join the Risk Data Science and Analytics Team at Square. The role involves improving risk controls through advanced statistical and analytical techniques, managing core operational metrics, advising senior stakeholders, and building processes to identify and prevent fraud on valuable sellers.