Apply advanced quantitative research and predictive modeling with the Toronto Blue Jays in Baseball Operations. Build data-informed decisions across baseball.

This Data Scientist role conducts baseball research and develops advanced metrics for complex questions. You will support strategy across scouting, player development, projections, and fundamental research. The work combines SQL, R, Python, statistical modeling, and communication with non-technical users.

Key Responsibilities:

Design and maintain advanced baseball metrics and predictive models

Conduct empirical research on strategy and player evaluation

Create tools supporting decisions across Baseball Operations

Guide junior Baseball Research team members

Collaborate with coaches, scouts, and front office colleagues

Requirements:

Four to five-plus years in data science

Proficiency with SQL, R, Python, or similar languages

Experience communicating findings to non-technical users

Ability to execute rigorous quantitative research projects

Passion for baseball and strong problem-solving skills

Use predictive models, baseball research, and transparent communication to inform Toronto Blue Jays Baseball Operations decisions.

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📌 Data-Scientist Research & Development (Toronto)
🏢 Toronto Blue Jays
📍 Toronto