Performance Data Scientist - Workload & Injury Analytics

Comunidad Lift; Detroit (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Detroit Tigers is seeking an Applied Performance Scientist to lead scalable workload monitoring, integrate data into decision-making, and advance research linking physical preparation to on-field performance. This role collaborates with performance, medical, and coaching staff to ensure consistent, data-informed processes across environments.

The position requires a Master’s in Exercise Science, Kinesiology, Data Science or related field and 3+ years of elite athletics experience with NSCA CPSS

Qualifications

• Master’s in Exercise Science, Kinesiology, Data Science or related field.
• 3+ years applied Performance Science experience with elite athletes (pro, collegiate or Olympic) with NSCA CPSS or CSCS.
• Extensive experience in workload monitoring, performance testing, and strength & conditioning preferred; data science/mathematics background is a plus.

Responsibilities

• Lead development and implementation of a standardized workload monitoring framework informing athlete readiness and decisions.
• Collaborate across Health and Performance to align physical, mechanical, workload, and performance data for evidence-based decisions.
• Monitor workload trends, flag injury risk or underperformance, support playing time projections, and communicate trends.

Skills

Performance science

Systems thinking

Communication

Project management

Stakeholder alignment

Education

Master’s in Exercise Science / Kinesiology / Data Science

Tools

SQL

R

Python

Job description

Detroit Tigers is seeking an Applied Performance Scientist to lead scalable workload monitoring, integrate data into decision-making, and advance research linking physical preparation to on-field performance. This role collaborates with performance, medical, and coaching staff to ensure consistent, data-informed processes across environments.

The position requires a Master’s in Exercise Science, Kinesiology, Data Science or related field and 3+ years of elite athletics experience with NSCA CPSS