Data Scientist, Baseball Analytics
$75,000–$100,000 year
On-siteBoston, Massachusetts, United States
Job Summary
Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization. Craft compelling written reports and data visualizations to communicate complex analyses to diverse audiences, including technical specialists and Baseball Operations leadership. Partner with the Baseball Systems team to integrate new analytical findings into team applications and address data quality issues. Continuously monitor cutting-edge analytics from public and academic spaces to recommend innovative methodologies that enhance on-field performance. This role supports decision-making across player personnel and strategic initiatives within the Baseball Analytics department.
Required Qualifications
- Understanding of modern statistical and machine learning methods
- Advanced proficiency with popular data science languages and libraries
- Practical understanding of how to approach research questions to drive actionable insights
- Ability to visualize, present and disseminate analyses to a diverse group of stakeholders
- PhD or master's degree in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience
- Proficiency in SQL
- Proficiency in programming languages such as R or Python
- A passion for baseball
- A strong desire to contribute to building a championship-winning team
- Problem solving
- Teamwork
- Clarity of communication
- Time management
- Culture of honesty
- Culture of humility
- Culture of relentlessness
- Commitment to DEIB
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