ZipRecruiter

Log In

1

Sports Technology Python Jobs (NOW HIRING)

AEG

Applied Sports Biomechanist

San Antonio, TX · On-site

This role also partners with external technology providers and research institutions to evaluate ... Proficiency in Python for data processing, analysis, and visualization. * Experience with motion ...

Sofascore

$115K - $158K/yr

ABOUT SOFASCORE Sofascore is a sports-tech company created with one goal in mind - giving sports ... Proficiency in Python (or similar), with excellent coding and debugging skills. * Hands-on ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Source origins of data inaccuracies through data pipeline dependencies and python code base ... Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics ...

DVSport

Technical Support Specialist II

Pittsburgh, PA · On-site

$55K - $75K/yr

Based in Pittsburgh, DVSport is an industry leading sports technology company specializing in ... Python) * Interest in sports, participation at a higher level and knowledge of the sport and/or ...

DVSport

Technical Support Specialist II

Pittsburgh, PA · On-site

$55K - $75K/yr

Based in Pittsburgh, DVSport is an industry leading sports technology company specializing in ... Python) * Interest in sports, participation at a higher level and knowledge of the sport and/or ...

PRI Global

Web/React SDET

San Francisco, CA · On-site

... Python, C#, Go, or Kotlin used in modern sports tech stacks • Experience with tools like Selenium, Playwright, Cypress, Appium (for mobile), and REST Assured (for APIs) • Experience with static ...

New

AEG

Sports Scientist

San Antonio, TX · On-site

Assess, implement, and integrate new sports science technologies to enhance performance workflows ... Proficiency in R (preferred), Python, and SQL for data processing and visualization. * Experience ...

next page

Showing results 1-20

All JobsSports Technology Python Jobs

Sports Technology Python information

See salary details

$13

$58

$86

How much do sports technology python jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for sports technology python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Sports Technology Python professional?

A Sports Technology Python professional is someone who uses Python programming to develop software, analyze data, and create technological solutions in the sports industry. They may work on projects such as performance tracking, data visualization, predictive analytics, or developing apps and tools for athletes, teams, and coaches. Their work helps improve athletic performance, fan engagement, and decision-making by leveraging Python's capabilities in data science, machine learning, and automation. Typical employers include sports organizations, analytics firms, and technology companies focused on sports innovation.

How do professionals in Sports Technology Python typically collaborate with coaches and analysts to deliver actionable insights?

In Sports Technology Python roles, collaboration with coaches and analysts is frequent and essential. Professionals in this area often work closely with these stakeholders to understand their tactical objectives and data needs, then translate raw data into meaningful visualizations or reports using Python-based tools. Regular meetings and iterative feedback loops are common, ensuring that the technical solutions developed actually support performance improvement and decision-making on and off the field. This collaborative environment helps bridge the gap between technical data analysis and practical, real-world sports applications.

What are the key skills and qualifications needed to thrive as a Sports Technology Python Developer, and why are they important?

To excel as a Sports Technology Python Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of sports science or analytics, often backed by a degree in computer science, engineering, or a related field. Familiarity with data visualization tools (like Matplotlib or Plotly), machine learning libraries (such as scikit-learn or TensorFlow), and experience with sports data APIs are typically required. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills enable accurate data-driven insights, innovative sports technology solutions, and effective collaboration with multidisciplinary teams.

Sports Scientist

Spurs Sports and Entertainment

San Antonio, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

At Spurs Sports & Entertainment (SS&E), we work in service of something bigger than ourselves.
To us it is so much more than just a game or concert. It takes all the members of our Spurs team to harness the power of sports and entertainment to create moments that excite, memories that endure, and connections that strengthen our community. SS&E owns and operates the San Antonio Spurs (NBA), Austin Spurs (NBA G-League), and the San Antonio FC (USL), and manages day-to-day operations of the Frost Bank Center, Toyota Field and STAR Complex.
We know that our people are our greatest asset as an organization. We aspire to provide our teams with meaningful work, to live our values -Integrity, Success & Caring - day-to-day in what we do and foster an inclusive culture for our 1K+ employee workforce.
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.
What You'll Do:
  • 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.

Who You Are:
  • 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.
  • CSCS certification is beneficial.

Physical Requirements:
The Sports Scientist must be able to lift and transport equipment weighing up to 50 pounds and work in varied environments, including training facilities, game venues, and research labs. This role requires a non-traditional schedule, including evenings, weekends, and extensive travel as needed to support team operations and performance initiatives.
In every position, each employee is expected to: demonstrate alignment with SS&E's core values and mission, collaborate with internal/external community members and demonstrate ongoing development.
If you don't have experience in every single bullet above, no sweat - we still want to hear from you and encourage you to apply!
SS&E is an Equal Opportunity Employer
Nothing contained in this job description is intended to be a contract of employment, nor does any information contained here represent a guarantee of employment for a specific duration. Your employment with SS&E is "at will", which means that either you or SS&E may terminate the relationship at any time. Essential functions listed above must be performed with or without accommodations.

Apply