Job Posting: New York Mets Baseball Analytics Roles

Please note, this posting contains three positions.

Position: Analyst, Baseball Analytics

Location: Citi Field – Queens, New York

Job Description:

Summary:
The New York Mets are seeking an Analyst in Baseball Analytics. The Analyst 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
  • Use data analysis to support and improve business decisions
  • Present model outputs in an effective way, both for technical and non-technical audiences
  • Communicate well with both the Director and Manager of Baseball Analytics 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 research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

  • 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
  • Prior experience in or knowledge of baseball is a plus, but is not required

To Apply:
Please follow this link to apply.

Senior Analyst, Baseball Analytics

Location: Citi Field – Queens, New York

Job Description:

Summary:
The New York Mets are seeking a Senior Analyst in Baseball Analytics. The Senior Analyst 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 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
  • Use data analysis to support and improve business decisions
  • Present model outputs in an effective way, both for technical and non-technical audiences
  • Communicate well with both the Director of Baseball Analytics and 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

To Apply:
Please follow this link to apply.

Biomechanical Analyst, Baseball Analytics

Location: Citi Field – Queens, New York

Job Description:

Summary:
The New York Mets are seeking a Biomechanical Analyst in Baseball Analytics. The Biomechanical Analyst will work in conjunction with the Sports Science department to answer a variety of questions relating to biomechanics and baseball. The analyst will be the primary bridge between Baseball Analytics and Sports Science, and will need a strong statistical background. Prior biomechanics experience is not required, but the expectation is that the Biomechanical Analyst will learn from the Sports Science group and become the expert for and advocate of their work within the Baseball Analytics department and to the wider Baseball Operations group.

Essential Duties & Responsibilities:

  • Work in conjunction with the Sports Science department to develop questions for research
  • Design and implement statistical models to answer a variety of questions relating to biomechanics and baseball
  • Interpret data and report conclusions drawn from their analyses
  • Use data analysis to support and improve business decisions
  • Develop a solid understanding of biomechanics, sufficient to communicate with the Sports Science department as well as people will less of a technical background throughout the Baseball Operations group
  • Effectively communicate statistical concepts and the results of models to both technical and non-technical audiences
  • 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 and biomechanics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

  • At a minimum, BS in statistics or a related field, with post-graduate degrees a plus
  • Professional experience in a quantitative position is a plus
  • Biomechanics background is a strong plus but not required
  • Prior knowledge of motion capture and other technologies is a strong plus but not required
  • 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
  • Prior experience in or knowledge of baseball is a plus, but is not required

To Apply:
Please follow this link to apply.

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





Meg is the managing editor 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.

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