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Data Science Sports Jobs (NOW HIRING)

Bet365

Senior Data Scientist

Denver, CO

$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 ...

RightsHelper

Senior Data Scientist

$120K - $140K/yr

... sports and live event organizations. * Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance. * Perform model ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Amazon

Data Scientist, Prime Video

Seattle, WA

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... science team on projects that are fast-paced, challenging, and ultimately influence what millions ...

Amazon

Data Scientist, Prime Video

Seattle, WA

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... science team on projects that are fast-paced, challenging, and ultimately influence what millions ...

FanDuel

Data Scientist

Jersey City, NJ · On-site

$116K - $152K/yr

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

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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.
Sports Science Associate

Sports Science Associate

Baltimore Orioles

Sarasota, FL

Other

Re-posted 2 days ago

Job description

JOB TITLE: Sports Science Associate 

DEPARTMENT: Player Development - Strength and Performance 

JOB SUMMARY: The Baltimore Orioles are seeking a Sports Science Associate for the 2026 season. The Sports Science Associate will assist with the delivery of sports science solutions within Player Development. They will assist our Major League Performance Analyst, Biomechanist, Sports Scientist, and MiLB Strength and Conditioning Coordinator to maximize the use of available technologies and information to aid in elite program design and decision making. 

REPORTS TO: Head of Strength and Performance 

PRIMARY RESPONSIBILITIES: 
 

Primary duties to include, but not limited to the following: 

  • Assist with implementation and maintenance of existing sports science initiatives across the organization, including data collection, analysis, and reporting. 
  • Set up, calibrate, operate, maintain, and troubleshoot all technologies and their data used within Strength and Performance, which include (but are not limited to) VALD systems, GymAware, and Catapult. 
  • Administer assessments and performance tests as directed, while ensuring the highest integrity in data acquisition. 
  • Assist with data management, organization, and integration into the organization's internal athlete management systems and databases. 
  • Aid in facilitating the proper reporting of data to support holistic training initiatives as directed.  
  • Provide support on exploratory Sports Science research projects and analysis using a combination of biomechanical, sports science, and in-game data as directed 
  • Work closely with the Strength and Performance staff to develop and disseminate relevant information from Sports Science initiatives. 
  • Document all communications and research to maintain reproducibility 
  • Provide support for data collection with our Amateur Scouting Department. This may include event-planning, warm-up, assessment, and reporting of amateur players during Scouting events. 
  • Aid in scheduling motion captures with appropriate staff on site (e.g. pitching, hitting, S&C, Medical, etc.) 

QUALIFICATIONS: 

Required: 

  • BS in exercise science, exercise physiology, sports science, kinesiology, biomechanics, or similar fields. 
  • Experience with the following technologies: Force plates, Catapult, Velocity-Based Training 
  • Certified Strength and Conditioning Specialist (CSCS) through the National Strength and Conditioning Association (NSCA) 
  • Familiar with athlete management systems  
  • Strong communication and presentation skills (graphical, written, and verbal) 
  • Desire to work with the Sports Performance department to help build a collaborative, organized system 
  • Excellent attention to detail and organizational skills 
  • Wants to work in a baseball setting 
  • Ability and willingness to work extended hours/holidays as needed 

Preferred: 

  • MS in exercise science, exercise physiology, sports science, kinesiology, biomechanics, or similar fields. 
  • Certified Performance and Sports Scientist (CPSS) through the National Strength and Conditioning Association (NSCA) 
  • Bilingual 
  • Experience with the following technologies: Motion capture, high speed video, Trackman 
  • Experience in applied sports science or strength & conditioning settings within elite sport environments (collegiate, professional, or private sector). 
  • Experience with R, Python, SQL 
  • Data science capabilities 

LOCATION: 

  • Sarasota, FL 

Apply