Job Posting: New York Mets – Multiple Openings

Direct links to applications (please see job details below):

Data Scientist
Intern, Data Science
Associate Analyst, Baseball Analytics: Integration
Associate Hitting Analyst, Baseball Analytics
Associate, Video & Technology (International Scouting)
Senior Data Scientist, Baseball Analytics


Data Scientist

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking a Data Scientist in Baseball Analytics. The Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. 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
  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results
  • Evaluate potential new data sources and technologies to determine their validity and usefulness
  • Consistently analyze research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications & Requirements:

  • Masters and/or BS 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, Python, or similar, as well as strong proficiency in SQL
  • Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments
  • Strong communication skills
  • Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

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 value the unique qualities individuals with various backgrounds and experiences can offer 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.

Salary Range: $80,000 – $100,000

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

To Apply
To apply, please follow this link.


Intern, Data Science

Location: Citi Field – Queens, New York

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.

To Apply
To apply, please follow this link.


Associate Analyst, Baseball Analytics: Integration

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking an Associate Analyst to join the Baseball Analytics: Integration team. In this role, you will help Baseball Operations answer the wide range of questions that arise throughout the year, taking on fast-moving projects that touch many areas of the organization. This is an opportunity to apply quantitative skills to meaningful baseball decisions, gain broad exposure to how a Major League organization operates, and work closely with colleagues across a variety of functions.

Essential Duties & Responsibilities:

  • Translate questions from across Baseball Operations into clear research and analytical approaches
  • Retrieve, combine, clean, and validate data from internal databases and relevant public sources
  • Conduct timely research and analysis across multiple concurrent, short-term projects, using statistical methods or modeling when appropriate
  • Communicate findings through concise, easy-to-understand reports, visualizations, and messages
  • Collaborate with Data Engineering and Systems teams to turn analytical work into reliable, accessible data and tools for use across Baseball Operations
  • Maintain clear, reproducible code and documentation, and develop reusable processes for recurring analytical needs

Qualifications:

  • Bachelor’s degree in a quantitative field, or equivalent experience
  • Experience using R, Python, or a similar analytical programming language
  • Proficiency in SQL, including joining, filtering, aggregating, and validating data
  • Strong analytical and problem-solving skills
  • Attention to detail, particularly when reviewing data and analytical outputs
  • Ability to organize work, manage competing priorities, and meet deadlines
  • Strong verbal and written communication skills

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 value the unique qualities individuals with various backgrounds and experiences can offer 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: $22.00 – $25.00/hour

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

To Apply
To apply, please follow this link.


Associate Hitting Analyst, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:

The Associate Hitting Analyst will develop high-impact analytical tools and systems that advance hitting evaluation and drive optimization and improvement strategies across internal player development and external player acquisition. This individual will lead research, monitor performance trends, and collaborate across departments to uncover actionable opportunities that deepen organizational hitting knowledge and strengthen decision-making in both the acquisition and development spaces of Baseball Operations.

Essential Duties & Responsibilities:

  • Analyze new data sources and their potential to explain performance
  • Communicate research to on-field staff and Player Development leadership, translating complex concepts into clear recommendations
  • Transform internal data and model results into actionable information that enhances both in-game and player performance strategy
  • Collaborate with Biomechanics and Performance teams to analyze players’ physical capabilities
  • Systematically identify internal and external players with room for improvement
  • Work with Data Science team to understand how players’ capacity to improve impacts their value
  • Perform research that explains how players are able to express skills on the field
  • Expand the organization’s understanding of how players can improve relative to expectations

Qualifications & Requirements:

  • Creativity and curiosity regarding the game of baseball
  • Statistical modeling experience. Experience in Biomechanics is a plus
  • Knowledge of baseball technology, including but not limited to KinaTrax, Blast Motion, Hawk-Eye, and force plates
  • Ability to collaborate and work within and across teams
  • Strong verbal and written communication skills
  • Demonstrated ability to manage multiple projects simultaneously and execute tasks under time constraints
  • Interest in public baseball research
  • Experience in R, Python, or similar programming languages, and proficiency in SQL
  • Must be able to work unconventional hours and travel

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 value the unique qualities individuals with various backgrounds and experiences can offer 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: $22.00 – $25.00/hour

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

To Apply
To apply, please follow this link.


Associate, Video & Technology (International Scouting)

Location: New York Mets Complex – Dominican Republic

Summary:

The Associate, Video & Technology (International Scouting) will execute the day-to-day on field video capture, data collection, and technology operations across international amateur showcases, partner programs, and academy tryouts in the Dominican Republic. This individual will serve as the field-level technical hub for the international scouting department—operating portable tracking hardware, capturing standardized scouting video, organizing and tagging digital assets, and syncing data with internal platforms.

Operating in a high-stakes, fast-moving evaluation environment, this role demands absolute confidentiality, meticulous attention to detail, operational problem-solving in challenging outdoor field environments, and proactive collaboration with area scouts, international crosscheckers, and front-office decision-makers.

Essential Duties & Responsibilities:

  • Field Technology Operations: Set up, calibrate, operate, and troubleshoot portable ball-tracking and bat-tracking technology (e.g., TrackMan Portable, Blast Motion, portable force plates, high-speed cameras) at amateur showcases, private workouts, and academy games
  • Scouting Video Capture & Ingestion: Film hitters, pitchers, and defensive drills adhering strictly to organizational filming standards. Accurately tag, trim, log, and ingest video into internal proprietary athlete management databases on daily turnaround times
  • Data Quality Control & Reporting: Maintain meticulous quality control over captured data feeds. Making sure the tagged information is accurate before submitting it to the internal platform
  • Territory Coverage & Scouting Logistics: Travel across key Dominican scouting circuits (e.g., San Cristóbal, Boca Chica, San Pedro de Macorís, Santiago, Baní, and Santo Domingo), coordinating directly with the DR Video Tech Coordinator along with the DR Scouting Supervisor and Area Scouts to align technical coverage on a daily basis
  • Technology Asset Management: Clean, charge, pack, transport, and maintain all mobile hardware, tablets, cameras, tripods, and other tech, ensuring zero downtime during showcases and events
  • Cross-Departmental Collaboration: Assist visiting international crosscheckers, analytical evaluators, and scouting executives by providing real-time data feeds
  • International Travel Support: As needed, deploy to international scouting assignments outside the Dominican Republic to support tournament coverage and data intake

Requirements:

  • Driver’s License & Reliable Transportation: Valid Dominican driver’s license, a clean driving record, and daily access to an insured, reliable vehicle capable of transporting equipment across varying road conditions throughout the island
  • Travel & Schedule Flexibility: Willingness and capability to travel extensively across the Dominican Republic, with readiness to travel abroad. Ability to work unconventional hours, including early mornings, weekends and late hours as needed according to the workload
  • Technical Savvy & Computer Proficiency: Proficiency with Microsoft Excel, general PC operating systems, tech saavy experience to handle distinct software
  • Baseball Technology Familiarity: Demonstrated working knowledge of baseball tracking technology (TrackMan, Hawk-Eye, FlightScope, Blast Motion, Rapsodo, or related optical/radar systems) and high-frame-rate sports cameras
  • Bilingual Communication: Professional proficiency in both Spanish and English (spoken and written), enabling seamless coordination between Latin American trainers/players and US-based front oAice personnel
  • Discretion & Confidentiality: Absolute integrity and commitment to organizational secrecy regarding prospect evaluations, proprietary metrics, acquisition targets, and internal strategy
  • Physical Demands: Ability to carry 40–50 lbs of hardware/tripods and stand outdoors in high-heat and humid conditions for extended periods

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 value the unique qualities individuals with various backgrounds and experiences can offer 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.

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

To Apply
To apply, please follow this link.


Senior Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. 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

  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

  • Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

  • Evaluate potential new data sources and technologies to determine their validity and usefulness

  • Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

  • Ph.D. in statistics or a related field, or equivalent professional experience

  • Strong background in a wide variety of statistical techniques

  • Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

  • Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

  • Strong communication skills

  • Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

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.

Salary Range: $120,000 – $150,000

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

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.





David Appelman is the creator of FanGraphs.

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