2025 Baseball Analytics Summer Intern
Boston, MA, United States
Baseball Operations /
Associate/Co-op/Intern /
On-site
DEPARTMENT OVERVIEW:
Baseball Analytics supports the decision-making processes throughout Baseball Operations, including Player Valuation, Player Development and Major League Strategic Information. Core responsibilities include predictive modeling, long-term research, report creation, and delivering the output of one’s work in a clear and digestible manner.
POSITION OVERVIEW:
The Boston Red Sox are seeking a Baseball Analytics Intern for the team’s Baseball Analytics department for a portion of the 2025 summer period. The role will support all areas of Baseball Operations while working closely with Director of Baseball Analytics, and our team of analysts. This is an opportunity to work in a fast-paced, intellectually curious environment and to impact player evaluation, acquisition, development and strategic decision making. This internship is for current college or graduate students pursuing a degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, computer vision, or operations research.
This internship will run for 11 weeks. It will begin in May 2025 and end in August 2025.
RESPONSIBILITIES:
- Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of player evaluation, strategic decision-making, decision analysis, etc.
- Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the Baseball Operations leadership.
- Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
- Other projects and related duties as directed by the Director, Baseball Analytics, and other members of Baseball Operations leadership.
COMPETENCIES:
- Aptitude for and ability to apply academic or applied experience in a quantitative field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, computer vision, and/or operations research.
- Understanding of modern statistical and machine learning methods and a proficiency with popular data science languages and libraries.
- Practical understanding of how to approach research questions to drive actionable insights.
ADDITIONAL QUALIFICATIONS:
- Pursing or recently completed a Bachelor’s or advanced degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, computer vision, or operations research.
- Proficiency with modern database technologies including SQL.
- Demonstrated experience with programming languages (e.g., R, Python).
- Exposure to probabilistic programming languages (e.g., Stan, PyMC3).
- Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
- Attention to detail while also having the ability to work quickly and balance multiple priorities.
- Other programming and database skills are a plus.
In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.
