INTERNSHIP DETAILS

Intern, Data Science

CompanyNew York Mets
LocationNew York
Work ModeOn Site
PostedOctober 2, 2026
Internship Information
Core Responsibilities
The intern will build, test, and present statistical models to support the Baseball Operations department's decision-making processes. They will also interpret data findings and communicate complex model outputs to both technical and non-technical stakeholders.
Internship Type
full time
Salary Range
$20 - $25
Company Size
1774
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The New York Mets are a world-class Sports and Media-Entertainment Company located in Flushing, New York. As an family-owned and customer-focused organization, our values are based on teamwork and hard work, trust and integrity, and professionalism and accountability. We strive to foster both personal and professional development and provide employees with the necessary tools and experiences that will prepare them for success in a competitive industry. We are continuously targeting talented candidates with transferable experience, intrinsic passion for success, and intense love for the game. Off the field, our team includes 250 full-time employees, 110 seasonal interns, and 1,200 game day employees working together to provide exceptional service to our fans. We invite you to follow our LinkedIn page to receive bi-weekly updates regarding full-time and internship opportunities within the Front Office! Find an additional listing of available jobs at: http://newyork.mets.mlb.com/mlb/help/jobs.jsp?c_id=nym
About the Role

Job Description:

Summary:

The New York Mets are seeking an intern in our Baseball Analytics Department for the summer of 2027. 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

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.


The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.


Pay Range: $20.00 - $25.00/hour

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

Key Skills
StatisticsData analyticsRPythonStatistical modelingData interpretationCommunicationResearchBaseball analytics
Categories
Data & AnalyticsSports & RecreationScience & ResearchTechnology