ZipRecruiter

Log In

1

Data Science Sports Jobs in California (NOW HIRING)

Fanatics

Data Scientist

Los Angeles, CA · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... This role is ideal for someone early in their data science career who is eager to expand their ...

New

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... This role is ideal for someone early in their data science career who is eager to expand their ...

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 ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Backed by world-class investors, operators, and sports & entertainment partners, we are building ... This role is ideal for someone early in their data science career who is eager to expand their ...

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 ...

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+ ...

2K

Senior Technical Product Manager, Data Science

Los Angeles, CA

$136K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K's portfolio currently includes several AAA, sports ...

2K

Senior Technical Product Manager, Data Science

Los Angeles, CA · On-site

$136K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K's portfolio currently includes several AAA, sports ...

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+ ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Apple Media Products Data Science & Analytics organization is passionate about developing ... Work closely with TV+ and Sports leads to advise their roadmap and content strategy. Preferred ...

Apple Inc.

Video Content Data Scientist

Culver City, CA · On-site

$175 - $263.30/hr

  • Medical

  • Dental

  • Retirement

The Apple Media Products Data Science & Analytics organization is passionate about developing ... Work closely with TV+ and Sports leads to advise their roadmap and content strategy. Minimum ...

AEG Worldwide

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

next page

Showing results 1-20

All JobsData Science Sports JobsData Science Sports Jobs in California

Data Science Sports information

See California salary details

$22K

$104.3K

$199.8K

How much do data science sports jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science sports in California is $104,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,003.00 and $150,801.00 per year, depending on experience, location, and employer.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in athletic training, game tactics, and talent scouting.

What skills and qualifications are needed for a Data Science Sports position?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

What is a Data Science Sports?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What does a Data Science Sports professional do?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often work with advanced analytics, machine learning, and data visualization tools to improve team performance and business decisions.

What are the most commonly searched types of Data Science Sports jobs in California?

The most popular types of Data Science Sports jobs in California are:

What are popular job titles related to Data Science Sports jobs in California?

For Data Science Sports jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Sports jobs in California look for?

The top searched job categories for Data Science Sports jobs in California are:

What cities in California are hiring for Data Science Sports jobs?

Cities in California with the most Data Science Sports job openings:

Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in California as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $104,302 per year, or $50.1 per hour.

Data Scientist

Fanatics

Los Angeles, CA • On-site

Other

Posted 3 days ago

New

Fanatics rating

6.7

Company rating: 6.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

213th of 734 rated retailers

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.
Role Summary
As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely with senior data scientists, product managers, engineers, and analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.
This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a fast-paced, product-focused environment.
What You'll Do
  • Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making.
  • Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members.
  • Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities.
  • Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results.
  • Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics.
  • Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data.
  • Use Python or R to automate analyses and develop reproducible analytical workflows.
  • Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration.
  • Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise.
  • Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.
What You'll Need
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience.
  • 1-3 years of experience in data science, analytics, or a related quantitative role.
  • Working knowledge of SQL and experience querying large datasets.
  • Proficiency in Python or R for data analysis.
  • Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design.
  • Familiarity with machine learning concepts and common libraries such as scikit-learn.
  • Strong analytical thinking, curiosity, and willingness to learn new technologies.
  • Excellent communication and collaboration skills.
Bonus Qualifications
  • Master's degree in a quantitative discipline.
  • Experience with business intelligence tools such as Sigma, Looker, or Tableau.
  • Exposure to cloud data platforms including Snowflake or BigQuery.
  • Coursework or practical experience with machine learning, forecasting, or experimentation.
  • Experience working in consumer technology, e-commerce, marketplaces, or digital products.
  • Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at ;br>
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit ;br>
Los Angeles Salary Range
$122,040-$152,550 USD
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit ;br>
NYC Salary Range
$135,000-$168,750 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

What Fanatics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply