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 recent 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 (Winnipeg)
🏢 Toronto Blue Jays
📍 Winnipeg