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
- Robust 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)
🏢 Toronto Blue Jays
📍 Toronto