Data Scientist

Houston Astros

• $80K — $100K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or BS degree in statistics or related field
  • Professional experience in a quantitative position is a plus
  • Strong background in various statistical techniques
  • Proficiency in R, Python, or similar, and SQL
  • Basic knowledge of data engineering and front-end development is a plus
  • Strong communication skills
  • Ability to manage large-scale projects with minimal oversight

Responsibilities

  • Build statistical models to address diverse baseball-related questions
  • Interpret data and report conclusions from analyses
  • Present model outputs effectively to both technical and non-technical audiences
  • Communicate with Baseball Analytics and Operations teams to clarify project parameters
  • Advise on desired outputs from the data engineering team
  • Evaluate new data sources and technologies for validity and usefulness
  • Analyze research in analytics to enhance modeling efforts

Benefits

  • Opportunity to work in a dynamic sports environment
  • Engagement with a collaborative team of professionals
  • Access to cutting-edge data analytics tools
  • Potential for career growth within a major sports organization
  • Involvement in impactful decision-making processes in baseball operations
Full Job Description
Job Description:

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.

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.

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