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
Robust 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