Top Sports Data & Analytics Jobs in San Francisco, CA

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

Design, build, and scale data pipelines for AI applications, integrating data models and ensuring quality and reliability. Mentor junior engineers.

The Lead Data Scientist will drive innovation in personalization and data insights at ESPN, leading teams in advanced experimentation frameworks and strategic data-driven product decisions.

Design and scale data foundations for AI applications, build data pipelines, ensure data quality, collaborate across teams, and lead engineering solutions for advertising technologies.

As a Data Engineer, you'll develop data architectures and pipelines, manage scalable data processing, automate workflows, and ensure data quality within the Data Platform organization.

The Senior Data Analyst will manage data quality, deliver insights, support customer inquiries, and collaborate closely with engineering and data science teams to enhance the Baseball Data Platform.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

As a Senior Yield Manager, you'll optimize digital advertising revenue through effective pricing and inventory strategies, utilizing AI insights for improved forecasting and performance.

The Senior Game Integrity Analyst safeguards poker gameplay integrity by investigating suspicious behavior, providing analytical insights, and enhancing detection tools.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.