The Analytics Intern will assist Baseball Operations decision-making through the analysis and research of baseball information. The specific day-to-day responsibilities of this position will vary depending on the baseball calendar, but will revolve around analyzing data to answer baseball-related questions. A competitive candidate will possess an established foundation of statistical, programming, and database skills. The position will report to the Director of Analytics.
- Research and develop predictive models to support Baseball Operations in player evaluation, roster construction, and in-game strategies.
- Expand upon Marlins analytical strategy by creating new data models, metrics, applications, and reports.
- Improve and refine existing processes for the Baseball Operations Department.
- Perform ad-hoc research projects as requested.
- Present results in a complete, concise, and engaging manner.
Qualifications & Requirements:
- Strong work ethic, attention to detail, and ability to self-direct.
- Demonstrated baseball research, experience visualizing data, and/or strong technical acumen.
- Ability to communicate baseball analytics concepts to individuals with diverse baseball backgrounds, including coaches, scouts, and executives.
- Understanding of and passion for the game of baseball.
- High level of familiarity with the current state of baseball research.
- Meaningful work experience with Tableau, SQL Server, R, and/or Python.
- Ability to work extended hours including evenings, weekends, and holidays from February – October 2019.
Suggested Education & Experience:
- Bachelor’s degree in statistics, engineering, applied math, physics, computer science, operations research, or related field.
- Understanding of advanced forecasting techniques is strongly preferred.
- Experience with a scripting language (e.g. PowerShell, Ruby, Perl) is preferred.
- Ability and desire to learn other programming languages as needed.
- Baseball/softball playing experience is a plus.
Please email materials (resume, cover letter, research, etc.) to email@example.com, and be sure to tell them your friends at BP sent you!
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