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Freelance Data Science Sports Jobs (NOW HIRING)

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

University of Notre Dame

Data Science Associate

Notre Dame, IN · On-site

$57K - $58K/yr

Working at the intersection of data engineering, analytics, and sports performance, this role will ... The Data Science Associate will leverage analytical expertise and programming skills to process ...

New

University of Notre Dame

Data Science Associate

Notre Dame, IN · On-site

$57K - $58K/yr

Working at the intersection of data engineering, analytics, and sports performance, this role will ... The Data Science Associate will leverage analytical expertise and programming skills to process ...

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

Lead and grow a high-performing team of pricing analysts and data scientists. * Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc). * Partner ...

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Freelance Data Science Sports information

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How much do freelance data science sports jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for freelance data science sports in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are some common challenges freelance data scientists face when working on sports analytics projects?

Freelance data scientists in the sports industry often encounter challenges like accessing high-quality, up-to-date datasets, as sports organizations may have strict data privacy policies. Additionally, communicating complex analytical findings to non-technical stakeholders, such as coaches or athletes, requires strong visualization and storytelling skills. Freelancers must also effectively manage their time and deliverables, as project scopes and timelines can change rapidly depending on client needs and sporting seasons.

What is a Freelance Data Science Sports professional?

A Freelance Data Science Sports professional is an independent contractor who uses data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze and interpret sports data. They work with sports organizations, teams, media companies, or betting agencies to help improve performance, make predictions, or extract insights from game statistics. Their projects can range from player performance analysis to developing predictive models for game outcomes. Freelance professionals typically manage their own workloads and clients, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Freelance Data Science Sports professional, and why are they important?

To thrive as a Freelance Data Science Sports professional, you need solid statistical analysis skills, proficiency in data manipulation, and a strong understanding of sports analytics, typically supported by a degree in statistics, mathematics, or computer science. Mastery of tools such as Python or R, data visualization platforms, and experience with sports data APIs are highly valuable. Strong communication, problem-solving, and self-management skills help you effectively interpret data insights and manage client relationships. These skills are crucial for delivering actionable insights and maintaining client satisfaction in a dynamic, results-driven industry.

What is the difference between Freelance Data Science Sports vs Freelance Data Analysis Sports?

AspectFreelance Data Science SportsFreelance Data Analysis Sports
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, basic statistical analysis, reporting
Work EnvironmentProject-based, remote or on-site, collaboration with sports teams or companiesRemote or freelance projects, often with sports organizations or media
Industry UsageDeveloping predictive models, athlete performance analysis, sports analytics platformsGenerating reports, analyzing game data, providing insights

Freelance Data Science Sports involves advanced analytics, machine learning, and predictive modeling, often requiring programming skills. Freelance Data Analysis Sports focuses on interpreting data, creating reports, and providing insights with less emphasis on complex algorithms. Both roles serve the sports industry but differ in technical depth and scope.

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Freelance Data Science Sports jobs near you

Team Operations - Head of Sports Science

ocsc

Kissimmee, FL

Other

Posted 14 days ago

Job description

TITLE: Academy Head of Sports Science 

DEPARTMENT: Team Operations 

REPORTS TO: Head of Sports Science 

FLSA: Full-Time, Salaried, Exempt

 

WHAT SETS YOU APART

The Academy Head of Sports Science uses player health and performance data to safeguard players' health and safety and improve their on-field performance. Drawing on expertise across sports science, data science, and data visualization, this role facilitates conversations, generates insights, and develops programming for players in the performance, injury-prevention, medical, and return-to-play areas. Responsibilities include, but are not limited to, collecting and presenting data on player health and performance; conducting testing where certified or licensed to do so; and managing and integrating performance and medical datasets.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Manage all incoming sports science data streams, including in-training and in-game tracking, and develop reporting structures around data collection.
  • Integrate performance and medical datasets, ensuring data quality and consistency across sources.
  • Collect, analyze, and present data on player health and performance, and provide clear feedback to players and staff.
  • Design, modify, and apply assessment protocols to analyze the demands of the sport and the capabilities of Academy players.
  • Evaluate player performance through performance testing, workload monitoring, and other team-specific metrics, within the scope of certification.
  • Manage, design, and implement weight-room physical testing protocols within the scope of certification.
  • Collaborate with Strength and Conditioning teammates to design and administer individualized pre-training activation protocols and in-season strength training sessions.
  • Educate and counsel players on strategies to improve performance, within the scope of practice.
  • Work with Strength and Conditioning and the wider department to deliver activation and regeneration sessions as needed.
  • Support Strength and Conditioning with on-field warm-ups for team training sessions when required.
  • Support Strength and Conditioning and Club Medical Staff with end-stage rehabilitation sessions when required.
  • Maintain the appearance and organization of equipment in the weight facility, and educate players on and enforce weight-room rules.
  • Other duties as assigned.

 

QUALIFICATIONS

It's never just a job at Orlando City SC. It's a way of life. We live and breathe soccer, and we believe each role is as unique as the person who fills it. To join our team, you will also bring the following qualifications:

  • Bachelor's degree in Exercise Science, Sports Science, or a related field required; Master's or Ph.D. in Sports Science highly preferred.
  • Minimum of 3 years of professional or college experience, preferably within MLS or another elite-level soccer organization.
  • Certified Performance and Sport Scientist (CPSS) credential from the National Strength and Conditioning Association (NSCA) required.
  • Experience using sports science technologies such as GPS or player-tracking devices, heart-rate monitoring, force-plate technology, and sprint-profiling tools.
  • Demonstrated ability to communicate effectively across a variety of media and with diverse audiences.
  • Proficiency in Microsoft applications and data visualization platforms.
  • Bilingual skills are a plus.
  • Ability to work flexible hours, including nights, weekends, and holidays.
  • Ability to attain and maintain SafeSport certification.
  • Ability to pass a background check.

Apply