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Computer Science Sports Jobs in Denver, CO (NOW HIRING)

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 ...

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 ...

bet365

Data Science Team Leader

Denver, CO

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering ...

bet365

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 ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

bet365

Data Science Team Leader

Denver, CO

$155K - $165K/yr

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

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Computer Science Sports information

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.

What are the most commonly searched types of Computer Science Sports jobs in Denver, CO? The most popular types of Computer Science Sports jobs in Denver, CO are:
What are popular job titles related to Computer Science Sports jobs in Denver, CO? For Computer Science Sports jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Computer Science Sports jobs in Denver, CO look for? The top searched job categories for Computer Science Sports jobs in Denver, CO are:
Computer Science Sports jobs near you
Infographic showing various Computer Science Sports job openings in Denver, CO as of July 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 92% In-person, and 8% Remote job distribution.

Data Scientist I

Fanatics Betting & Gaming

Denver, CO • On-site

Other

Posted 7 days ago

Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Data Science team. The role reports into the Data Science Director and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams.

Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Remain current on technology, machine learning trends, and competitive shifts within the global 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, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino) is a significant plus.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

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