Sports Scientist

San Antonio Spurs Sports & EntertainmentSan Antonio, TX
Onsite

About The Position

The Sports Scientist will design and manage data collection, storage, and reporting systems to optimize development, performance, rehabilitation, and talent identification processes. This role requires strong coding skills and expertise in sports and medical data management, automation, and visualization to develop decision-support tools. This is a full-time, on-site position in San Antonio, Texas, working daily with the San Antonio Spurs (NBA) and supporting the Austin Spurs (G-League). The Sports Scientist will mentor and oversee the Athletic Performance Assistants within the Player Performance & Wellness department, in San Antonio (NBA) and in Austin (G-League), ensuring their development and integration into performance initiatives. This role also manages external sports science projects, collaborating with consultants, research institutions, and tech partners, while holding vendors accountable through clear benchmarks, communication protocols, and regular reviews to optimize technology integration.

Requirements

  • Master’s or PhD in Data Science, Exercise Physiology, Kinesiology, or related field.
  • 5+ years of experience in elite sport with a focus on sports data management and analysis.
  • Proficiency in R (preferred), Python, and SQL for data processing and visualization.
  • Experience with athlete monitoring systems, tracking data, force plates, motion capture systems, physiological biomarkers, etc.
  • Strong collaboration skills, working effectively with performance, medical, coaching, and scouting staff.

Nice To Haves

  • CSCS certification is beneficial.

Responsibilities

  • Design, implement, and maintain robust data collection and storage systems for medical and performance technologies, ensuring efficiency, accuracy, and accessibility.
  • Automate and streamline data collection while leading the processing, analysis, and visualization of performance, medical, coaching, and talent identification data to deliver actionable insights to coaching, medical, performance, and scouting staff.
  • Ensure data quality, integrity, and security by developing and enforcing best practices for data governance, validation, and compliance across all sports science platforms.
  • Assess, implement, and integrate new sports science technologies to enhance performance workflows and ensure seamless adoption across departments.
  • Collaborate with coaching, medical, and scouting departments to develop data-driven workload optimization, recovery strategies, player profiling, and talent evaluation tools.
  • Continuously advance the field of sports science by researching, innovating, and applying cutting-edge methodologies in data science and performance analytics.
  • Mentor and develop junior staff by providing structured training and guidance in data analysis, technology use, and applied sports science methodologies while also educating senior staff across departments and players on how to effectively interpret and apply sports science insights.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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