Build predictive models and advanced baseball metrics with the Toronto Blue Jays, supporting data-informed decisions across Baseball Operations. Apply quantitative research to complex baseball questions.

This Data Scientist role requires four to five-plus years of data science experience. You will design research, communicate findings, and create tools for baseball decisions. Work may span scouting, player development, projections, and fundamental research.

Key Responsibilities:
Conduct baseball research and contribute to departmental projects
Design and maintain predictive models and advanced metrics
Research strategy, player evaluation, and player procurement
Collaborate with coaches, scouts, and front office colleagues




Integrate information with Baseball Systems infrastructure

Requirements:
Four to five-plus years building predictive models
Proficiency with SQL, R, Python, or statistical languages
Experience communicating results to non-technical users
Ability to execute rigorous quantitative research projects
Passion for baseball and solid reasoning skills

Apply baseball research, predictive modeling, and communication skills to strengthen Toronto Blue Jays Baseball Operations decisions.
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📌 Baseball Research Data Scientist Toronto (Canada)
🏢 torontobluejays
📍 Canada