Colorado Rockies · Denver, CO
Build, validate and deploy predictive models and forecasts, communicate the uncertainty plainly, and turn one-off analyses into repeatable work; R or Python, SQL, reproducible workflows, four or more years in the role.
The posting, read 2026-11-08.
Los Angeles Lakers · El Segundo, CA
Own the cloud data platform end to end, from ingestion to the web and mobile apps that put model output in front of coaches and the front office; orchestrated pipelines, CI/CD, infrastructure as code, Python, SQL and TypeScript, ten or more years with five leading.
The posting, read 2026-11-08.
Toronto Blue Jays · Toronto, ON, Canada
Design and maintain predictive models and metrics for scouting, development and projections, with a demonstrated ability to use LLMs in the research process; SQL, R and Python, Bayesian modeling welcome, four to five years building models and explaining them to non-technical staff.
The posting, read 2026-11-08.
NASCAR · Daytona Beach, FL
An entry role: prepare and analyze data in SQL and Python, support predictive modeling, and help build and test AI-enabled analytics tools, including MCP integrations, against trusted queries; core statistics and a commitment to validating AI-generated results.
The posting, read 2026-11-08.
MLS League Office · New York, NY
Lead sporting analytics workstreams on event, tracking and roster data, evaluate rule and roster changes with statistical or causal methods, and apply machine learning to video and tracking; advanced SQL and Python, seven or more years, strong soccer knowledge.
The posting, read 2026-11-08.
Washington Nationals · Washington, DC
Lead every research and data function in baseball operations: statistical modeling, forecasting and probabilistic programming, machine learning and its evaluation, agentic tools integrated with care, and the applications that carry research into decisions.
The posting, read 2026-11-08.