Apply quantitative research and predictive modeling with the Toronto Blue Jays, supporting data-informed Baseball Operations decisions across departments. Collaborate with teams to make information actionable.

As a Baseball Research Specialist, you will conduct empirical research, build predictive models, and develop tools for Baseball Operations. Your work may support scouting, player development, player evaluation, projections, strategy, and fundamental research. You will communicate results to non-technical users.

Key Responsibilities:

- Conduct ongoing baseball research across Baseball Operations departments
- Design and test predictive models for strategy and decisions
- Research in-game strategy, player evaluation, and player procurement




- Build tools incorporating data into decision-making processes
- Integrate current information with Baseball Systems infrastructure

Requirements:

- Two to three-plus years in research or data science
- Experience building models and communicating results to non-technical users
- Proficiency with R, Python, or similar statistical languages
- Proficiency with SQL and relational databases
- Rigorous quantitative research, reasoning, and communication skills

Use quantitative research, predictive models, R or Python, and SQL to inform Toronto Blue Jays Baseball Operations decisions.

📌 Baseball Data Science Research Specialist (Toronto)
🏢 Toronto Blue Jays
📍 Toronto