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Data Science Sports Jobs in Berkeley, CA (NOW HIRING)

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 +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

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This role will work at the intersection of data science, trading, and data engineering to help ...

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 · Remote

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This role will work at the intersection of data science, trading, and data engineering to help ...

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+ ...

Recentive Analytics Inc.

Data Scientist

San Francisco, CA · On-site

$125 - $150/hr

... core data science team. In this role, you'll design and deploy analytical solutions that power decision-making for some of the biggest names in sports, entertainment, and broadcast. You'll ...

Fanatics Inc

Senior Data Scientist

San Mateo, CA · On-site

$150 - $200/hr

... licensed sports merchandise - we're a team united by a relentless passion for our fans and a ... Work on data science projects across marketing and customer domains, including personalization ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

AEG

Data Scientist

San Francisco, CA · On-site

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements * BS/BA degree in Mathematics, Computer Science, or related STEM field * Minimum of 2+ ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements * BS/BA degree in Mathematics, Computer Science, or related STEM field * Minimum of 2+ ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements * BS/BA degree in Mathematics, Computer Science, or related STEM field * Minimum of 4+ ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements * BS/BA degree in Mathematics, Computer Science, or related STEM field * Minimum of 4+ ...

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Lead Data Scientist, Data Products

San Francisco, CA · On-site

$150 - $200/hr

No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your ... About This Role The Data Science team at Strava works across the organization to find solutions to ...

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Showing results 1-20

All JobsData Science Sports JobsData Science Sports Jobs in Berkeley, CA

Data Science Sports information

See Berkeley, CA salary details

$25.1K

$119K

$227.9K

How much do data science sports jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science sports in Berkeley, CA is $118,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,616.00 and $172,018.00 per year, depending on experience, location, and employer.

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.

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.

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 use skills in statistics, machine learning, and data visualization tools to analyze athletic performance, team strategies, or fan engagement. Entry-level positions may start lower, while senior roles or those in major leagues tend to pay higher salaries.

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 areas like player recruitment and game tactics.

What are popular job titles related to Data Science Sports jobs in Berkeley, CA?

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

What job categories do people searching Data Science Sports jobs in Berkeley, CA look for?

The top searched job categories for Data Science Sports jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Data Science Sports jobs?

Cities near Berkeley, CA with the most Data Science Sports job openings:

Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in Berkeley, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,977 per year, or $57.2 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 22 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.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • 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 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
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 Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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