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.

📌 Baseball Research Data Scientist (Toronto)
🏢 torontobluejays
📍 Toronto