Turn baseball data into actionable decisions for the Toronto Blue Jays through predictive models, empirical research, and analytical tools. This role supports Baseball Operations broadly.

The Baseball Research Specialist contributes to research spanning scouting, player development, player evaluation, projections, and strategy. You will design and test models, investigate baseball questions, and help improve how information informs decisions. Collaboration with Baseball Research and Baseball Systems is central.

Key Responsibilities:
Explore quantitative questions across scouting and player development
Design predictive models supporting departmental baseball decisions
Conduct empirical research on strategy and player evaluation




Collaborate with Baseball Research on findings and applications
Improve processes incorporating information into Baseball Operations

Requirements:
Two to three-plus years building predictive models
Demonstrated ability to execute rigorous quantitative research projects
Solid problem-solving, creative thinking, and communication skills
Proficiency with R, Python, or comparable statistical language
Ability to communicate analytical results to non-technical users

Bring baseball passion, predictive modeling, and rigorous analysis to research that supports Toronto Blue Jays decision-making.

📌 Baseball Analytics Specialist Predictive Models Toronto (Canada)
🏢 Toronto Blue Jays
📍 Canada