Quantitative Analyst, Applied Biomechanics
H star
Title : Quantitative Analyst, Applied Biomechanics
Department : Baseball Solutions - Applied Biomechanics
Reports to : Manager, Applied Biomechanics or Manager, Foundational Research
Status : Regular Full-Time
Location : Philadelphia, PA or Clearwater, FL Overview : The Philadelphia Phillies are hiring a Quantitative Analyst to join our Applied Biomechanics team, with a focus on quantitative modeling and analysis. In this role, you'll use biomechanical and/or high performance data to answer practical questions about player evaluation, development, and on-field outcomes. You'll help translate complex data into clear, objective insights that support coaches, analysts, and decision-makers across the organization. What You'll Do :
Department : Baseball Solutions - Applied Biomechanics
Reports to : Manager, Applied Biomechanics or Manager, Foundational Research
Status : Regular Full-Time
Location : Philadelphia, PA or Clearwater, FL Overview : The Philadelphia Phillies are hiring a Quantitative Analyst to join our Applied Biomechanics team, with a focus on quantitative modeling and analysis. In this role, you'll use biomechanical and/or high performance data to answer practical questions about player evaluation, development, and on-field outcomes. You'll help translate complex data into clear, objective insights that support coaches, analysts, and decision-makers across the organization. What You'll Do :
- Build statistical models using athlete high performance, on-field performance, and biomechanical data.
- Develop metrics, tools, and visualizations to support player evaluation, player development, workload management, and gameplanning processes.
- Conduct research on relationships between tracking data and on-field outcomes.
- Help productionize analytical tools and maintain scalable research pipelines.
- Proven experience creating high performance or biomechanical metrics and researching their relationship to on-field performance.
- Strong familiarity with supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
- Proficiency with scripting languages such as Python, statistical software (R, SAS, or similar), and databases (BigQuery, MySQL).
- Familiarity with best practices in machine learning operations (Git, Docker, MLFlow, or equivalent).
- Demonstrated experience in handling, analyzing, and interpreting biomechanical data in sports.
- 1-5+ years of relevant work experience.
- Master's Degree or Ph.D. in Sports Science, Data Science, or a related field.
- Competitive Salary & Benefits : A benefits package that includes health insurance, retirement plans (NUPP and 401k), paid time off, tickets to Phillies games, and the option of remote work.
- Access To The Cutting Edge : Exposure to advanced tools and proprietary data.
- Dynamic Team Environment : Work with a team committed to excellence.
- Personal Growth : Learn from colleagues within a supportive and driven environment.
Vacancy posted 2 days ago
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