Baseball Analytics Research Scientist

Develop advanced baseball metrics and predictive models for the Toronto Blue Jays. Bring quantitative research and statistical programming to Baseball Operations.As a Data Scientist, Baseball Research, you will solve complex baseball questions through rigorous empirical research. Your work may support Pro, Amateur, or International Scouting, Player Development, Player Projections, and Fundamental Research. You will also explore data sources, technologies, and decision processes.Key Responsibilities:
Challenge technical processes and explore competitive data sourcesTest and implement predictive models for baseball decisionsResearch in-game strategy, player evaluation, and procurementIntegrate new information with Baseball Systems infrastructureProvide technical feedback and guidance to colleaguesRequirements:
Four to five-plus years building predictive modelsStrong understanding of current baseball researchDemonstrated quantitative research design and executionProficiency with relational databases and statistical languagesDemonstrated use of LLMs and generative AIApply baseball analytics, predictive modeling, and emerging research technologies to improve Toronto Blue Jays decisions.
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