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 new 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 in Toronto employer: Toronto Blue Jays
At Jays Care Foundation, you'll be part of a dynamic team dedicated to shaping the future of baseball in Canada while making a meaningful impact in communities. Located at the iconic Rogers Centre, we offer a collaborative work culture that fosters professional growth through hands-on training and mentorship, alongside competitive compensation and unique perks associated with being part of Canada's only MLB franchise. Join us to accelerate your career and contribute to innovative programs that empower young people across the nation.
