Baseball Research Data Scientist

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 projectsDesign and maintain predictive models and advanced metricsResearch strategy, player evaluation, and player procurementCollaborate with coaches, scouts, and front office colleaguesIntegrate information with Baseball Systems infrastructureRequirements:
Four to five-plus years building predictive modelsProficiency with SQL, R, Python, or statistical languagesExperience communicating results to non-technical usersAbility to execute rigorous quantitative research projectsPassion for baseball and strong reasoning skillsApply baseball research, predictive modeling, and communication skills to strengthen Toronto Blue Jays Baseball Operations decisions.
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