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 robust problem-solving skills Use predictive models, baseball research, and clear communication to inform Toronto Blue Jays Baseball Operations decisions.

📌 Baseball Research Data Scientist (Toronto)
🏢 Toronto Blue Jays
📍 Toronto