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Computer Science Sports Jobs in California (NOW HIRING)

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations ...

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports ... Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations ...

... computer science • Familiarity with different computer operating systems • Knowledge of ... AEG is one of the leading sports and entertainment presenters in the world. AEG, a wholly owned ...

... computer science • Familiarity with different computer operating systems • Knowledge of ... AEG is one of the leading sports and entertainment presenters in the world. AEG, a wholly owned ...

AEG has been transforming sports and live entertainment for over 20 years, hosting millions of ... computer science • Familiarity with different computer operating systems • Knowledge of ...

Senior Software Engineer

Burbank, CA · On-site

$124K - $186K/yr

Master's Degree in Computer Science or related field * Experience with video codecs and protocols ... CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment ...

Senior Software Engineer

Burbank, CA · On-site

$124K - $186K/yr

Master's Degree in Computer Science or related field * Experience with video codecs and protocols ... CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment ...

Senior Software Engineer

Burbank, CA · On-site

$130K - $171K/yr

Master's Degree in Computer Science or a similar, related field * Experience with video codecs and ... CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment ...

Senior Software Engineer

Burbank, CA · On-site

$130K - $171K/yr

Master's Degree in Computer Science or a similar, related field * Experience with video codecs and ... CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment ...

LA Kings - Sr. Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

Required : • BA/BS Degree (4-year) Computer Science, Data Science, or similar field • 4-6 years ... Los Angeles Kings is a sports company that provides highlights, roster, schedule, scores, and ...

... Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent ... Hands-on experience in sports trading, sports betting, exchange-style environments, market-making ...

... Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent ... Hands-on experience in sports trading, sports betting, exchange-style environments, market-making ...

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Showing results 1-20

Computer Science Sports information

See California salary details

$19.6K

$62.9K

$127.3K

How much do computer science sports jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer science sports in California is $62,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,169.00 and $81,276.00 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.

What are the most commonly searched types of Computer Science Sports jobs in California? The most popular types of Computer Science Sports jobs in California are:
What are popular job titles related to Computer Science Sports jobs in California? For Computer Science Sports jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Sports jobs in California look for? The top searched job categories for Computer Science Sports jobs in California are:
What cities in California are hiring for Computer Science Sports jobs? Cities in California with the most Computer Science Sports job openings:
Infographic showing various Computer Science Sports job openings in California as of July 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,915 per year, or $30.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Posted 27 days ago


Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to “roll your own” and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.

This position is 100% remote

Responsibilities:

  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.

  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.

  • Build, test, deploy and maintain production systems.

  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.

  • Support maintenance and optimization of cloud-native EDW and ETL solutions.

  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Use extensive experience to build, test, debug, and deploy production-grade components.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:

  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area

  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs

  • A proven background in quantitative analytics, trading, or engineering is required for this position

  • Demonstrated experience developing data science modeling systems and infrastructure at scale

  • Experience with Python and exposure to modern machine learning frameworks

  • Proficient in SQL; experience with MySQL

  • Background and/or interest in Rust preferred

  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.