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 (Winnipeg)
🏢 torontobluejays
📍 Winnipeg