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Computer Science Sports Jobs in California (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 ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$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

$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 ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical ... sports analytics or sports betting. * Experience in Probability Theory, Machine Learning ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical ... sports analytics or sports betting. * Experience in Probability Theory, Machine Learning ...

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+ ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site

$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+ ...

Acme Corporation

Oracle Developer

Los Angeles, CA

$61 - $75.75/hr

... sports knowledge Plusses: PL/SQL, SOAP, PHP, e-commerce experience, Oracle Tuning, Perl, Java, Flash, Actionscript, phpBB BA in Computer Science or related field required Responsibilities:

Caltech

Sports Information Assistant

Pasadena, CA · On-site

$20 - $33/hr

Caltech is a world-renowned science and engineering institute that marshals some of the world ... Strong proficiency in general computer applications, software platforms, and database management ...

Stackruit Ltd.

Front End Engineer

San Francisco, CA · On-site

$100 - $130/hr

A bachelor's degree in computer science or a related field. * 4+ years of software development ... Ready to make a difference in the world of sports betting? Apply today! Note: Swish Analytics ...

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All JobsComputer Science Sports JobsComputer Science Sports Jobs in California

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 Aug 25, 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 is a computer science sports?

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 does a computer science sports do?

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 key skills and qualifications needed to thrive in computer science sports?

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.

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, data visualization, and machine learning to enhance sports performance and fan engagement.

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:

Computer Science Sports jobs near you
Infographic showing various Computer Science Sports job openings in California as of August 2026, with employment types broken down into 5% Internship, 57% Full Time, 36% Part Time, and 2% Temporary. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $62,915 per year, or $30.2 per hour.

Real-Time Front-End Engineer for Sports Analytics

Stackruit Ltd.

San Francisco, CA • On-site

Other

Posted 6 days ago

Job description

Swish Analytics is searching for a Front-End Engineer to join their Visual Services team. In this role, you’ll design and develop innovative features for their real-time data analytics platform used for sports trading and operations.

Why Swish Analytics?
  • Be part of a fast-paced and growing company at the forefront of sports analytics.
  • Work on challenging and impactful projects that leverage cutting-edge technologies.
  • Enjoy a competitive salary and benefits package.
You’re a great fit if you have:
  • A bachelor’s degree in computer science or a related field.
  • 4+ years of software development experience.
  • Experience with backend RESTful API development and front-end development using JavaScript, ReactJS, and NodeJS.
  • A strong understanding of data analytics and SQL.
  • Excellent communication and collaboration skills.
What you’ll do:
  • Design and develop features for the next-generation data analytics platform.
  • Standardize development processes for the entire development cycle.
  • Research and implement new technologies to improve scalability and productivity.
  • Collaborate with cross-functional teams to ensure successful project delivery.
  • This is a great opportunity for a front-end developer who is passionate about sports and data analytics.

Ready to make a difference in the world of sports betting? Apply today!

Note:

Swish Analytics offers a competitive salary and benefits package and is an equal opportunity employer.

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