Develop advanced baseball metrics and predictive models for the Toronto Blue Jays. Bring quantitative research and statistical programming to Baseball Operations.

As a Data Scientist, Baseball Research, you will solve complex baseball questions through rigorous empirical research. Your work may support Pro, Amateur, or International Scouting, Player Development, Player Projections, and Fundamental Research. You will also explore data sources, technologies, and decision processes.

Key Responsibilities:

- Challenge technical processes and explore competitive data sources
- Test and implement predictive models for baseball decisions
- Research in-game strategy, player evaluation, and procurement
- Integrate current information with Baseball Systems infrastructure
- Provide technical feedback and guidance to colleagues

Requirements:

- Four to five-plus years building predictive models
- Strong understanding of current baseball research
- Demonstrated quantitative research design and execution
- Proficiency with relational databases and statistical languages
- Demonstrated use of LLMs and generative AI

Apply baseball analytics, predictive modeling, and emerging research technologies to improve Toronto Blue Jays decisions.

📌 Baseball Analytics Research Scientist (Toronto)
🏢 Toronto Blue Jays
📍 Toronto