Data Scientist

New York Mets • New York, NY

6d • $80,000 - $100,000

About The Position

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.

Requirements

• Masters and/or BS degree in statistics or a related field
• Strong background in a wide variety of statistical techniques
• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL
• Strong communication skills
• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Nice To Haves

• Prior experience in or knowledge of baseball is a plus, but is not required.
• Professional experience in a quantitative position is a plus
• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior