Top Remote Senior Level Data & Analytics Jobs in San Francisco Bay Area

Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.

The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.

Develop standardized data models to access and process real-world data for generating regulatory-grade evidence in support of cancer detection. Collaborate with cross-functional teams and external collaborators to ensure data quality and develop data processing strategies. Apply statistical methods and machine learning algorithms for data analysis and interpretation.

Looking for a Senior Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, developing data pipelines, partnering with various teams, and influencing Square's global Risk roadmap.

Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.

Seeking a highly skilled Web Analyst with 5+ years of experience to analyze digital data and drive strategic decisions. Responsible for web data collection, analysis, and interpretation to guide regional web strategies and enhance user experience.

Join Hims & Hers Health as a Senior Data Engineer to architect and develop data pipelines, maintain scalable infrastructure, design data processing pipelines, support analytics engineers and machine learning teams, and ensure data compliance and security policies.