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Job listing closed on 21 Nov 2023
18 Nov 2023

Analyst, Performance Science

πŸ‡ΊπŸ‡Έ Detroit, MI, USA
Full Time
2+ years exp.

Job Summary:

The Detroit Tigers are currently seeking a full-time Analyst in the Performance Science Department. This role will be responsible for performing analyses and conducting research within Performance Science. This position will report to the Director, Performance Science.

Key Responsibilities:

  • Research, build, test, and deploy statistical and/or machine learning models using baseball biomechanics data to support player development and decision making.

  • Develop models, applications, and reports to increase efficiency in the delivery and integration of Performance Science data across the organization.

  • Perform internal research integrating biomechanics data with other sources of injury, workload and performance data to improve current and build new evaluation and monitoring processes.

  • Collaborate and communicate with various departments across the organization including Baseball Analytics, Player Development, Sports Medicine, Amateur Scouting and Strength and Conditioning.

  • Assist with the integration of Performance Science data into current databases, tools, and applications.

  • Complete ad hoc data queries and effectively present analysis using written reports and data visualizations.

  • Monitor, identify and recommend new or emerging techniques, technologies, models, and algorithms.

  • Perform performance testing as directed, ensuring valid and reliable data to support projections, development and decision making.

  • Other projects as directed by the Director, Performance Science.

Required Knowledge, Skills, and Abilities:

  • Demonstrated expert-level knowledge of baseball-specific performance science data such as biomechanical data, modern statistical techniques, and sabermetric analysis.

  • Expertise with SQL and relational databases is required.

  • Relevant work experience with statistical software (R, Data Robot or similar) and scripting languages such as Python.

  • Experience working with large data sets preferred, including experience with biomechanical time-series data.

  • Familiarity with cloud computing, cloud storage, and cloud services a plus.

  • Demonstrated ability to communicate difficult and complex concepts to colleagues possessing a wide range of backgrounds and perspectives.

  • Degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.

  • Self-starter.

  • Team player.

  • Ability to work evenings, weekends and holidays as dictated by the baseball calendar.

  • Willing and able to relocate to Lakeland, FL, or the Detroit metro area.

Working Conditions:

  • Office environment and on-field.

  • Evening, weekend, and holiday hours required.

Disclaimer:

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigers is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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