Senior Data Scientist, Baseball Analytics
$100,000–$140,000 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 technical specialists and Baseball Operations leadership. Partner with the Baseball Systems team to integrate analytical findings into team applications and address data quality issues. Evaluate cutting-edge analytics from public and academic spaces to drive innovative methodologies that improve departmental decision-making. This Senior Data Scientist role shapes the data strategy for the Boston Red Sox's Baseball Analytics department, supporting player personnel decisions and strategic initiatives. The position requires a PhD in a quantitative field or equivalent experience, with expertise in SQL, R, or Python.
Required Qualifications
- PhD 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
- Expert proficiency in SQL and programming languages such as R or Python
- Advanced 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
- Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way
- Excellent analytical skills
- Deep understanding of baseball
- Ability to communicate technical concepts to non-technical audiences effectively
Desired Qualifications
- A passion for baseball and a strong desire to contribute to building a championship-winning team
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