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Fellow, Baseball Research
About the Minnesota Twins:
At the Minnesota Twins, we are driven by a singular purpose – to up the game, on the field and off. Unwavering in our commitment to deliver championships and be a force for good, our innovative, diverse and incredibly talented team is creating new ways to win, to uplift and to unite. We are proud to be Minnesota’s baseball team. We believe in our power to create positive change. We are setting the standard for a modern sports and entertainment brand that shapes a better tomorrow for all.
Essential Duties and Responsibilities:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Entry-level position designed to provide exposure to the Baseball Research department.
- Gain experienced by providing analyses, tools, and recommendations that improve decision-making processes for all part of Baseball Operations, including Amateur Scouting, Internal Scouting, Advance Scouting, Player Development, and Player Personnel.
- Work to process, clean, and verify integrity of data used for analyses, evaluate and build statistical models, and guide end-user consumption of analytical products.
- Some administrative and logistical support is expected.
Required Experience and Education:
- Rising college senior, current graduate student, recent graduates, or others beginning their career.
Essential Knowledge, Skills, and Abilities:
- Some knowledge (academic, work, or other) of the following research skills: Statistical Concepts (e.g., probability, linear regression, Bayesian inference); Statistical Programs (e.g., R, Python, MATLAB); and Data Manipulation/Querying (e.g., SQL, Spark, dplyr, pandas).
- Understanding of Baseball.
- Appropriate written and verbal communication skills.
Preferred Knowledge, Skills, and Abilities:
- Academic professional, or other demonstrated experience equivalent to an undergraduate or graduate degree in Math, Statistics, Economics, Physics, Computer Science, Engineering, or Data Science.
- Experience with building statistical or Machine learning models using statistical computing software.
- Experience generating complex data visualizations, using specific communication tools such as reports, notebooks, and custom applications or practical familiarity with baseball technology such as ball tracking systems (e.g., Hawk-Eye, Trackman, Rapsodo), motion capture (e.g., Simi, KinxTrax, 4D Motion, Hawk-Eye), and training tools (e.g., Blast, Hittrax).
Time Commitment: February 2026 - October 2026 or June 2026 - August 2026.
Hours: 40 hours/week.
Compensation: Hourly rate of $18.00/hour.
Applications Closing: September 22nd. (Subject to change based on candidate volume; early submission is encouraged)
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