Job opportunity
Baseball Data Science Research Specialist
Toronto Blue Jays
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.
#J-18808-Ljbffr
Apply on source site 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.
#J-18808-Ljbffr