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. 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. 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.

Requirements

Must-haves

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
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
For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: workday
Effort: long