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Data Science Manager - Sports Pricing

The Data Science Manager will own pricing and risk strategy while leading a team of analysts and data scientists to optimize pricing initiatives across various sports and esports. Responsibilities ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ... Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... This role is ideal for someone early in their data science career who is eager to expand their ...

FanDuel

Risk Data Science, Director

Jersey City, NJ · On-site

... Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role ... The role requires a strong knowledge of sports betting proven management experience. You will be a ...

bet365

Data Science Team Leader

Denver, CO

$165K/yr

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

bet365

Data Science Team Leader

Denver, CO · On-site

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... As the Data Science Team Leader, you will be a critical part of our expanding global data ...

RightsHelper

Data Scientist

$95K - $110K/yr

Collaborate with other Data Science team members to push root-level improvements across demand ... C, C++, Java) is a plus. * Knowledge of sports, concert, or ticketing industries is a plus.

Fanatics

Data Scientist

Manhattan, NY · On-site

Fanatics is building a leading global digital sports platform, and they are seeking a Data Scientist to support the development of analytical models and reporting. The role involves collaborating ...

bet365

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

... Sports and Gaming products, from development to automated deployment and monitoring. This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-paced, high ...

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Data Science Sports information

What are the key skills and qualifications needed to thrive in the Data Science Sports position, and why are they important?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software. Data analysts in sports may work closely with coaches and scouts to provide insights that enhance team performance.

How much does a sports data scientist make?

A sports data scientist typically earns between $60,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those in major sports organizations can offer higher salaries, often exceeding $150,000. Skills in data analysis, machine learning, and familiarity with sports analytics tools are important for this role.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. They often work with statistical analysis, machine learning tools, and sports data platforms in a fast-paced environment.

What is a Data Science Sports job?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What are the typical day-to-day responsibilities of a Data Science Sports professional?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

Do data scientists work in sports?

Data scientists in sports analyze large datasets related to player performance, game strategies, and fan engagement to inform decision-making. They often use tools like Python, R, and SQL, and work with sports teams, leagues, or sports analytics companies to improve outcomes and optimize operations.
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Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in the United States as of July 2026, with employment types broken down into 6% Internship, 66% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution.

Team Operations - Head of Sports Science

ocsc

Kissimmee, FL • On-site

Other

Posted 27 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