The Mets are looking to hire a data scientist

Statistical Modeling, Causal Inference, and Social Science 2024-09-17

Michale Jerman writes:

We’re looking to expand our group, and we’d obviously be interested in hiring the type of people who follow you.

The job is Senior Data Scientist, Baseball Analytics:

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 job description doesn’t literally mention Stan, but I can assure you that proficiency in Bayesian modeling and computing in Stan would be a plus.

Join the team before the Mets win that world championship and you can share some of the credit!