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 robust reasoning skills

Apply baseball research, predictive modeling, and communication skills to strengthen Toronto Blue Jays Baseball Operations decisions.

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