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About the Role
The New York Mets are seeking a Data Scientist in Baseball Analytics to build, test, and present statistical models that inform decision-making in Baseball Operations. This role requires strong statistical and data analytics skills, with the ability to communicate findings to diverse audiences. Prior baseball experience is a plus but not required.
Responsibilities
- Build statistical models to answer baseball-related questions using advanced statistics and data analytics.
- Interpret data and report conclusions from analyses.
- Present model outputs effectively to both technical and non-technical audiences.
- Communicate with the Baseball Analytics team and Baseball Operations personnel to understand research project parameters.
- Provide advice on desired outputs for the data engineering team and guidance to the Baseball Systems team on presenting model results.
- Evaluate potential new data sources and technologies for validity and usefulness.
- Analyze research in analytics to improve modeling work within the Baseball Analytics department.
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.
- Strong proficiency in SQL.
- Basic knowledge of data engineering and front-end development is a plus.
- Strong communication skills.
- Ability to work cooperatively with others.
- Ability to take control of large-scale projects with little or no daily oversight.
Skills
- Statistics
- Data Analytics
- R
- Python
- SQL
- Data Engineering
- Front-end Development
- Communication
Location
- New York
Work Type
- Full-time
Experience Level
- Professional experience in a quantitative position is a plus
Education Level
- Masters degree in statistics or a related field
- BS degree in statistics or a related field
Salary/Compensations
- $80,000 - $100,000
About the Company
- The New York Mets value the unique qualities individuals with various backgrounds and experiences can offer 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.