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Data Science Sports Jobs (NOW HIRING)

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

Data Science Manager

Manhattan, NY · On-site

$150 - $200/hr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

Biomedical Data Science

Palo Alto, CA · On-site

$125 - $150/hr

Events and program for children, sports camps, tuition options * World-class intellectual ... The successful candidate will apply modern data science, biomedical informatics, and artificial ...

Manager, Data Science Status: Hourly, Non-exempt Timeline: Preference will be given to candidates ... other sports research preferred. • Experience building and interpreting predictive models ...

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

Data Science Team Leader

Denver, CO · On-site

$155K - $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 ...

Data Science Team Leader

Denver, CO · On-site

$155K - $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 ...

Data Science Team Leader

Denver, CO · On-site

$155K - $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 ...

Jr. Data Scientist

Los Angeles, CA · On-site

$80 - $100/hr

Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2 ... The position will report to the Head of Data Science. Responsibilities Data Wrangling: Identify ...

$80 - $100/hr

Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2 ... The position will report to the Head of Data Science. Responsibilities Data Wrangling: Identify ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

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Data Science Sports information

What is a Data Science Sports?

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 does a Data Science Sports professional do?

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.

What skills and qualifications are needed for a Data Science Sports position?

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.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often use skills in statistics, machine learning, and data visualization tools to analyze athletic performance, team strategies, or fan engagement. Entry-level positions may start lower, while senior roles or those in major leagues tend to pay higher salaries.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in areas like player recruitment and game tactics.
More about Data Science Sports jobs

What cities are hiring for Data Science Sports jobs?

Cities with the most Data Science Sports job openings:

What are the most commonly searched types of Data Science Sports jobs?

The most popular types of Data Science Sports jobs are:

What states have the most Data Science Sports jobs?

States with the most job openings for Data Science Sports jobs include:

What are popular job titles for Data Science Sports?

Popular job titles for Data Science Sports:

Infographic showing various Data Science Sports job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Applied Performance Science Technician - Tennessee Athletics - UTK

The University of Tennessee

Knoxville, TN

$36K - $49K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Manage and execute data collection, analysis, and reporting related to athlete-performance and athlete-product assessments.

  • Analyze, interpret, and communicate assessment findings to inform performance initiatives and product development.

  • Apply assessment metrics, data-quality practices, and analytical methods to support research, development, and athlete-product evaluation activities.


Job description

The Applied Performance Science Technician will direct, analyze, interpret, and communicate athlete-performance and athlete-product assessment findings to inform University performance initiatives and Adidas innovation, product-development, and product-selection activities. This position will manage and execute approved data collection, analysis, and reporting related to physical, physiological, kinematic, biomechanical, and athlete-product assessments within the University partner's sports medicine, sports science, and sports performance departments. This position is responsible for applying approved assessment metrics, data-quality practices, and analytical methods to promote accurate, consistent, and efficient research, development, and athlete-product assessment activities while also serving as a cross-functional Sport Science team member who translates complex scientific information into clear, evidence-based insights for technical and nontechnical stakeholders.

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

Required Qualifications

  • Education: Bachelor's degree in Data Science, Sports Science, or relevant field of study.
  • Experience: 2 years of experience in a research or physical, physiological, kinematic, or biomechanical testing setting. Relevant experience in a clinical setting or in connection with a master's or doctoral degree will be considered.
  • Knowledge, Skills, Abilities: 
    • Knowledge of science and technology with a passion for making insights into the field of sport
    • Ability to translate insights from working with athletes and athletic teams
    • Ability to understand scientific and complex information, and communicate this to technical and non-technical audiences
    • Ability to educate and train colleagues by sharing knowledge on an on-going basis
    • Demonstrate the ability to work independently and within a team atmosphere
    • Ability to communicate and negotiate effectively, cooperate well, and to develop and maintain relationships
    • Ability to plan working time efficiently, balancing short term tasks with long-term goals
    • Demonstrate analytical skills, as well as the ability to be solution-driven and results-oriented

Preferred Qualifications

  • Education: Master's degree in Data Science, Sports Science, or relevant field of study. Ph.D. in Data Science, Sports Science, or relevant field of study.
  • Experience: Experience working in an NCAA or professional sports program with sports science, sports performance, or sports medicine. Experience as an NCAA or professional athlete.

Work Location 

  • Knoxville, TN
  • Onsite

Compensation and Benefits 

  • UT market range: 08
  • Find more information on the UT Market Range structure here
  • Find more information on UT Benefits here

Application Instructions 

To express interest, please submit an application with the noted below attachments.

  • Resume

  • Cover Letter

  • List of 3 Professional References

About Tennessee Athletics 

Tennessee Athletics Mission, Vision & Core Values

Mission: To lead the way forward in all aspects of college sports
Vision: Deliver an unparalleled student-athlete experience fueled by the relentless pursuit of comprehensive excellence; be bold and innovative in our approach to recruiting and developing well-rounded graduates, championship-driven competitors and world-changing leaders.
Core Values: Vols lead through...
  Academic Success
  Inclusive Preeminence
  Honesty and Integrity
  Competitive Excellence
  Holistic Health and Well-Being
  The Power of Vol Nation 

  • Plan, schedule, set up, and direct approved in-laboratory biomechanical baseline-screening assessments of NCAA athletes, using force plates, foot scanners, timing gates, and other appropriate technologies.

  • Evaluate the quality, completeness, relevance, and consistency of collected data; identify findings that require clarification or follow-up; and resolve routine data-quality and operational issues within approved methodologies.

  • Analyze and interpret athlete-assessment results and develop individualized athlete-assessment reports that synthesize relevant findings, trends, and considerations for athletes, coaches, and appropriate University stakeholders.

  • Explore intra- and inter-sport performance trends; evaluate analytical approaches within approved methods; and synthesize conclusions and evidence-based recommendations that support approved research and development activities.

  • Support University programs and departments by translating athlete-performance and athlete-product findings into sports-science insights that increase understanding of athlete performance and athlete-product interactions.

  • Manage laboratory equipment and devices required for athlete and athlete-product assessments, including ensuring equipment is available, operational, and ready for approved testing activities.

  • Develop clear, concise, results-based technical reports and presentations that translate complex scientific information into actionable insights for technical and nontechnical audiences, as approved by the University.

  • Plan, schedule, set up, and direct approved on-field athlete assessments and product-testing activities, including video recordings and wearable-sensor data collection.

  • Evaluate and interpret on-field athlete and athlete-product assessment findings to identify relevant trends, considerations, and follow-up needs.

  • Integrate and align approved Adidas Athlete Performance data-innovation initiatives within University athletics programs and coordinate assessment activity with participating University stakeholders.

  • Contribute sports-science analysis and technical perspective to the strategic direction of the Adidas Innovation team and immediate Athlete Performance team.

  • Analyze athlete and athlete-product assessment findings to evaluate product-related considerations and provide evidence-based technical recommendations supporting Adidas innovation, product-development, and product-selection activities.

  • Prepare technical reports that synthesize relevant findings and trends for University performance teams and appropriate Adidas stakeholders.

  • Plan, schedule, set up, and direct approved in-laboratory baseline and advanced footwear product-testing activities.

  • Analyze and interpret footwear product-testing findings; assess data quality and completeness; and identify results requiring clarification or follow-up.

  • Prepare concise, timely technical updates and reports for Adidas Innovation regarding athlete-assessment status and athlete-product project, research, and partnership activity.

  • Communicate assessment findings, technical recommendations, and project status clearly to support shared understanding among University and Adidas stakeholders.