Senior Data Scientist, Baseball Analytics

New York Mets; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

The New York Mets are seeking a Senior Data Scientist in Baseball Analytics to build and present statistical models that facilitate decision-making. This role necessitates a strong grasp of complex statistics and data analytics, alongside the ability to communicate effectively with varied audiences.

A Ph.D. in statistics or equivalent experience is required. Essential duties include model building, data interpretation, and collaboration with various teams. The salary range is $120,000 – $150,000.

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.

Responsibilities

• Build statistical models to answer baseball-related questions.
• Interpret data and report conclusions drawn from analyses.
• Present model outputs for technical and non-technical audiences.

Skills

Statistical techniques

R

Python

SQL

Communication skills

Project management

Education

Ph.D. in statistics or related field

Job description

Senior Data Scientist – Baseball Analytics

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 a 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 while exercising appropriate discretion and judgment regarding development of statistical models.
• Interpret data and report conclusions drawn from analyses.
• Present model outputs in an effective way, both for technical and non‑technical audiences.
• Communicate well with both the Baseball Analytics team and other Baseball Operations personnel to understand the parameters of any particular research project.
• Provide advice on 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.

Salary Range: $120,000 – $150,000

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.