Job Posting: Mets Analytics Intern
Position: New York Mets Intern, Analytics
Location: New York
Description:
The New York Mets are seeking an intern to work with the club’s Research and Development team. The employee will analyze baseball data and use their findings to support different areas within Baseball Operations. These may include player development, amateur and international scouting, and Major League advance scouting.
Responsibilities:
- Conduct research in the field of baseball analytics and communicate insights with Baseball Operations department.
- Research, develop, and test predictive models to support Baseball Operations decision-making (i.e., player evaluation, roster construction, player development, in-game strategy).
- Assist development team in creating new analyses and tools and integrating with existing Baseball Operations web application.
- Write scripts for the purposes of data collection, automation, and report generation.
Qualifications:
- Bachelor’s degree (applicant may be a current upperclassman pursuing degree) or equivalent experience in Statistics, Data Science, Mathematics, Physics, Computer Science, Operations Research, or similar quantitative field.
- Strong experience querying and managing data with SQL.
- Demonstrated experience using statistical tools and packages in R or Python.
- Strong understanding of baseball specific datasets (i.e., Trackman, Statcast, PITCHf/x) and knowledge of current baseball research. Please provide a sample of your work.
- Preference for candidates who have demonstrated experience building web applications in Python, Java, PHP, Javascript, etc. Please provide a link to the application and/or codebase (Github) if possible.
To Apply:
Interested applicants should apply through this link by March 18, 2018.
Meg is the editor-in-chief of FanGraphs and the co-host of Effectively Wild. Prior to joining FanGraphs, her work appeared at Baseball Prospectus, Lookout Landing, and Just A Bit Outside. You can follow her on Bluesky @megrowler.fangraphs.com.
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