Biomechanical Analyst, Baseball Analytics

Location: Citi Field – Queens, New York
Status: Full Time

Summary:
The New York Mets are seeking a Biomechanical Analyst in Baseball Analytics. The Biomechanical Analyst will work in conjunction with the Sports Science department to answer a variety of questions relating to biomechanics and baseball. The analyst will be the primary bridge between Baseball Analytics and the Performance Technology group and will need a strong statistical background as well as some level of prior experience with biomechanical data. Prior experience in baseball is a plus but is not required.

Essential Duties & Responsibilities:

• Design and implement statistical models to answer a variety of questions relating to biomechanics and baseball
• Work in conjunction with the Sports Science department to integrate biomechanical research into Baseball Analytics models and pipelines
• Interpret data and report conclusions drawn from their analyses to support and improve decisions
• Serve as primary educational resource on biomechanical data within Baseball Analytics as well as a strong statistical modeling presence within Sports Science/Performance Technology
• Effectively communicate statistical concepts and the results of models to both technical and non-technical audiences
• Provide advice on technical requirements for 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 recent research in analytics and biomechanics that can help improve the modeling work done by the Baseball Analytics department
• Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

Qualifications:

• At a minimum, BS in statistics or a related field, with post-graduate degrees a plus
• Professional experience in a quantitative position is a plus
• Biomechanics background or experience working with biomechanical data. Sports or baseball-specific experience is a plus
• Prior knowledge of motion capture and other technologies is a strong plus but not required
• Strong background and real-world data applications of a wide variety of statistical techniques. Machine Learning and/or Computer Vision modeling is a plus.
• 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
• Prior experience in or knowledge of baseball is a plus, but is not required

To Apply:
To apply, please follow this link.

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