FYI a Job with the Mets! ______________________________________________________ Professor Ryan C. Sperry, PhD Department of Sociology, Queens College CUNY Director, MA in Data Analytics & Applied Social Research email: ryan.sperry@qc.cuny.edu<mailto:ryan.sperry@qc.cuny.edu> Data Analytics & Applied Social Research – QC Sociology<https://qcsociology.commons.gc.cuny.edu/data-analytics-applied-social-research/> ________________________________ From: Christine Jang <Christine.Jang@qc.cuny.edu> Sent: Wednesday, October 8, 2025 2:04 PM To: Ryan Sperry <Ryan.Sperry@qc.cuny.edu>; Joseph Cohen <Joseph.Cohen@qc.cuny.edu> Subject: internship with the Mets - maybe data analytics masters students? Https://blogs.fangraphs.com/instagraphs/job-posting-new-york-mets-multiple-openings-3/<https://blogs.fangraphs.com/instagraphs/job-posting-new-york-mets-multiple-openings-3/> Intern, Data Science Location: Citi Field – Queens, New York Job Description: Summary: The New York Mets are seeking an intern in our Baseball Analytics Department for the summer of 2026. During the summer, the Intern will build, test, and present statistical models to inform the decision-making of our Baseball Operations department. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required. Essential Duties & Responsibilities: Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models Interpret data and report conclusions drawn from their analyses Present model outputs in an effective way, both for technical and non-technical audiences Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project Qualifications: Pursuing a degree in statistics or a related field Professional experience in a quantitative position is a plus Strong background in a wide variety of statistical techniques Strong proficiency in R or Python Strong communication skills Ability to work cooperatively with others Christine Jang-Trettien Assistant Professor, Sociology, CUNY Queens College & CUNY Graduate Center Faculty Affiliate, CUNY Institute for Demographic Research https://www.christinejangtrettien.com/