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Computer Science Sports Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

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

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

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 ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Academic background in hard science, such as physics, mathematics, computer science, engineering ... Company: OC Sports & Entertainment, LLC Our Commitment: We are committed to providing an ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA

$100K - $140K/yr

Academic background in hard science, such as physics, mathematics, computer science, engineering ... Company: OC Sports & Entertainment, LLC Our Commitment: We are committed to providing an ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports ... Computer Science, Economics. * Strong SQL proficiency and strong proficiency in Python, with ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

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

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Bachelor's degree in computer science, statistics, operations research or equivalent combination of ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

New

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

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

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... Computer Science, Economics. * Strong SQL proficiency and strong proficiency in Python, with ...

Sault Tribe

Health - Weight Room Monitor

Manistique, MI · On-site

$13.25 - $16.75/hr

Potential hazards include constant exposure to moving mechanical parts, client contact, computer ... Bachelor's Degree in Exercise Science, Sports Management, Sports and Recreation, Health and Fitness ...

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Computer Science Sports information

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$20K

$64.3K

$130K

How much do computer science sports jobs pay per year?

As of Aug 1, 2026, the average yearly pay for computer science sports in the United States is $64,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, systems analysts, data scientists, cybersecurity analysts, and network administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and may involve working in office or remote environments. Job availability varies by industry and location, but these roles are among the most common for CS graduates.

What is a Computer Science Sports job?

A Computer Science Sports job involves using technology, data analysis, and software development to improve various aspects of sports. Professionals in this field may work on performance analytics, sports simulations, wearable technology, or data-driven decision-making for teams and athletes. They often use programming, machine learning, and statistical analysis to optimize player performance, injury prevention, and game strategies. This role can be found in sports organizations, tech companies, and research institutions.

What professions make 200,000 a year without a degree?

In the field of computer science sports or related tech roles, high-paying jobs such as software developers, cybersecurity specialists, and data engineers can reach or exceed $200,000 annually, especially with experience, specialized skills, and certifications. These roles often require strong technical knowledge, programming skills, and sometimes certifications like CISSP or cloud credentials, but they do not always require a traditional college degree.

How is computer science used in sports?

Computer science in sports involves developing data analysis tools, performance tracking systems, and simulation models to improve athlete training and game strategies. Professionals in this field often work with programming languages, sensors, and machine learning algorithms to analyze large datasets and optimize outcomes.

What jobs can I get with a degree in sports science?

A degree in sports science can lead to careers such as sports coach, athletic trainer, exercise physiologist, sports scientist, or fitness instructor. These roles often require knowledge of human physiology, training techniques, and sometimes certifications or licenses, and may involve working in gyms, sports teams, or healthcare settings.

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

To succeed in a Computer Science Sports role, you should have a strong background in computer science fundamentals such as programming, data structures, and analytics, often paired with knowledge of sports science or management. Experience with data analytics tools, sport-specific software platforms, and programming languages like Python or R is highly valued, and certifications in areas such as data science or sports analytics can be advantageous. Excellent problem-solving, teamwork, and communication skills help in translating complex data insights to coaches, athletes, or executives. These abilities are important because they bridge the gap between technology and sports performance, driving informed decision-making and innovation in the athletic industry.

What are the typical daily responsibilities of someone in a Computer Science Sports position?

Individuals working in Computer Science Sports typically spend their days collecting and analyzing performance data, developing software tools or predictive models to support coaching decisions, and collaborating with multidisciplinary teams including coaches, trainers, and sports scientists. They may also be responsible for maintaining databases, visualizing data for reports, and ensuring data integrity across multiple sources. Regular meetings with stakeholders help ensure projects align with team goals and athletic objectives. This role offers a dynamic environment at the intersection of technology and sports, with the potential to directly impact athletic performance and strategy.

More about Computer Science Sports jobs
What cities are hiring for Computer Science Sports jobs? Cities with the most Computer Science Sports job openings:
What are the most commonly searched types of Computer Science Sports jobs? The most popular types of Computer Science Sports jobs are:
What states have the most Computer Science Sports jobs? States with the most job openings for Computer Science Sports jobs include:
What job categories do people searching Computer Science Sports jobs look for? The top searched job categories for Computer Science Sports jobs are:
Computer Science Sports jobs near you
Infographic showing various Computer Science Sports job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $64,250 per year, or $30.9 per hour.

Assistant Professor, Information Systems

Morgan State University

Baltimore, MD

Full-time

Re-posted yesterday

Job description

Posting Summary
Job Title Assistant Professor, Information Systems Division Divison of Academic Affairs Department Department of Information Science and Systems Work Status Full Time Position Category Faculty Faculty Rank Assistant Professor FLSA Pay Range Salary Range Assistant Professor: $75,000 to $120,00 based on discipline Fund Source State Support Job Summary
The Earl G Graves School of Business and Management at Morgan State University seeks to fill a tenure-track position in the Department of Information Science and Systems at Assistant level with specialization in Data Analytics applied in the business domain, beginning in August 2026. The faculty will serve as a member of the newly formed Center for Data Analytics and Sports Gaming Research (CDASGR) with 50% responsibilities to the Center and 50% to the Department. Along with other faculty responsibilities, the faculty is expected to teach 2 courses per semester during the initial two years and based on productivity, continue with that teaching load. The Center aims to study and support research into emerging technological, socio-behavioral, and attitudes towards eSports, sports wagering, problem gambling and business development trends to inform esports and gaming public policy and regulation. A startup package will be provided to the faculty.
Job Duties
This faculty position will serve the mission of Morgan State University and the Earl G Graves School of Business and Management through the activities of teaching, intellectual contributions and service. The person holding this position will be responsible for developing and teaching online and face-to-face undergraduate and graduate level courses in data analytics, information systems and/or project management. The candidate will conduct research and write and obtain grants in Data Analytics/Data Science/Sports Gaming/Information Systems leading to publishing in refereed journals and presenting the research in local and national conferences and serve as a member of professional organizations. The faculty will share their expertise in local seminars and conferences to meet the mission of the Center. The candidate will participate in Department, School and University committees. Teaching assignments will include courses in our Masters program in Data Analytics and Visualization, doctoral and undergraduate courses in Data Visualization, Data Analytics, and depending on background and qualifications, may include courses in computer literacy, management information systems, computer networks, cybersecurity, systems analysis and design, project management, supply chain management, and enterprise information systems (SAP). As a member of the CDASGR Center faculty, engagement in multidisciplinary work with faculty with very diverse backgrounds is anticipated.
Morgan State University is Maryland's preeminent public urban research university, known for its excellence in teaching, intensive research, effective public service and community engagement. MSU has a R2 Carnegie Research designation, with a strategic aspiration to achieve a R1 Carnegie research designation by 2030. The AACSB accredited Earl G Graves School of Business and Management offers Bachelor, Master and Doctoral degrees. The school offers undergraduate programs, masters programs and doctoral programs with specialization in Information Systems, Accounting, Marketing, Finance, Business Administration. The Department of Information Science and Systems offers BS in Supply Chain Management, BS in Information Systems, MS in Project Management, a Post-Baccalaureate certificate in Project Management and offers courses that lead to an MBA degree as well as a PhD degree with an Information Systems concentration. Upcoming programs include MS in Data Analytics and Visualization, BS in Cybersecurity Intelligence Management, and PhD in Supply Chain and Logistics Management.
Knowledge, Skills, Abilities & Other Characteristics
The candidate must be very conversant with Data Analytics and Visualization tools and processes.
Required Minimum Qualifications
The successful candidate will have an earned doctorate (by August 2026) in Management Information Systems, Information Technology, Management Science, Decision Sciences, Operations Research, or related disciplines with research experience in supporting data analytics at the enterprise and systems level. The candidate should have a demonstrated record of quality research and the potential for excellence in teaching. Prior work experiences that use related skills are desirable, though not necessary.
Other Preferences for Consideration
Posting Detail Information
Posting Number FA00235 Number of Vacancies 1 Job Open Date 07/22/2025 Best Consideration Date 10/16/2025 Job Close Date Special Instructions to Applicant
Interested applicants must upload the following documents to their applications, prior to submission:
  • Curriculum Vitae
  • Portfolio of examples of research accomplishments
  • Unofficial Graduate transcript (initially, unofficial transcripts will be acceptable)
  • Letter of Interest /Statement of Teaching Philosophy
  • List contact information for three references in the Reference Page of your application

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