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Fellow, Baseball Research

Minnesota Twins

Fellow, Baseball Research | Minnesota Twins

Fellow, Baseball Research

Minnesota Twins


Apply by 10/15/2022

Posted 19 days ago

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Location


Minneapolis, MN, USA

Job Type


 Job Description

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 experience by providing analyses, tools, and recommendations that improve decision-making processes for all part of Baseball Operations, including Amateur Scouting, International 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.

Qualifications RequiredQualifications Required

  • Rising college senior, current graduate student, recent graduates, or others beginning their careers.
  • Academic professional, or other demonstrable experience equivalent to an undergraduate or graduate degree in Math, Statistics, Economics, Physics, Computer Science, Engineering, or Data Science is preferred.
  • 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.
  • Experience with building statistical or Machine learning models using statistical computing software is preferred.
  • 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, KinTrax, 4D Motion, Hawk-Eye), and training tools (e.g., Blast, Hittrax) is preferred.

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