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Computer Science Sports Jobs in California (NOW HIRING)

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll ... You have: * Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll ... You have: * Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical ...

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 ...

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 ...

Genius Sports

Software Engineer, GeniusIQ

Los Angeles, CA · On-site

$160K - $180K/yr

Bachelor's degree in Computer Science or equivalent experience. It'll be a bonus if you know ... This role will also be eligible to take part in Genius Sports Group's benefits plan. We enjoy an ...

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+ ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 ... Passion for film, television, and/or Sports domains.Hands-on experience with app-based engagement ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$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+ ...

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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 Jun 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 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.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software development, data analysis, and AI research. AI advances create new opportunities for computer scientists to develop algorithms, tools, and systems, making the discipline more relevant than ever.

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 pay $2000 a day?

High-paying roles in computer science and related fields, such as software architects, senior data scientists, and specialized consultants, can earn around $2000 or more per day, especially with extensive experience, advanced skills, and certifications. These positions often require expertise in areas like machine learning, cybersecurity, or cloud computing, and may involve consulting or contract work with flexible schedules.

What job makes $10,000 a month without a degree?

In the field of computer science sports or related tech roles, high-paying jobs such as software developers, data analysts, or cybersecurity specialists can reach or exceed $10,000 per month with relevant skills and experience, often without requiring a traditional degree. Success in these roles typically depends on demonstrated expertise, certifications, and a strong portfolio rather than formal education alone.

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:
Computer Science Sports jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 20 days ago

Job description

Company 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 consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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