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Sports Data Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview 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 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview 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 ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview 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 ...

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Sports Data information

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$10

$34

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How much do sports data jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for sports data in the United States is $34.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $56.97 per hour, depending on experience, location, and employer.

What is a sports data?

A Sports Data job involves collecting, analyzing, and interpreting sports-related statistics to provide insights for teams, media, bookmakers, and fans. Professionals in this field work with data from games, player performances, and team statistics to identify trends and patterns. Roles can include data analysts, statisticians, scouts, and developers who create models to predict outcomes. These jobs require strong analytical skills, statistical knowledge, and proficiency in tools like Excel, SQL, Python, or R.

What does a sports data do?

A Sports Data professional typically spends their day gathering, cleaning, and analyzing sports-related datasets, such as player statistics, game outcomes, or performance metrics. They often create reports or dashboards, use statistical models to identify trends, and present actionable insights to coaching staff, management, or broadcasting teams. Collaboration is common with analysts, coaches, and IT teams to ensure data accuracy and relevance. Maintaining data integrity and keeping up with the latest sports analytics tools are also key parts of the role.

What are the key skills and qualifications needed to thrive in the sports data position, and why are they important?

To thrive in Sports Data, you need strong analytical skills, a background in statistics or data science, and a solid understanding of sports rules and analytics. Familiarity with data visualization tools (such as Tableau or Power BI), coding languages (like Python or R), and sports data platforms is typically expected. Attention to detail, effective communication, and the ability to quickly interpret and present findings are valuable soft skills for this role. These competencies are crucial for delivering accurate insights and supporting decision-making in the fast-paced sports industry.

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

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Sports Data jobs near you
Infographic showing various Sports Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,704 per year, or $35 per hour.

Data Scientist - Risk and Trading (Daily Fantasy Sports)

Sleeper

Remote

$75K - $150K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 29 days ago

Job description

About Sleeper:
Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper's product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports ("DFS") games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings.
We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.
Responsibilities:
  • Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights.
  • Develop predictive models and algorithms to better understand Sleeper's real-time liability, including risk exposure related to specific markets and events.
  • Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy.
  • Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately.
  • Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem.
  • Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole.
    Qualifications:
  • Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets.
  • In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker.
  • Proactive - ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the "sports trading mold", challenging how the industry has historically approached risk management and trading.
  • Comfortable working "off hours" to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules.
  • Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building.
  • Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs.

Additional Information:
We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.
For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k.
Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app.
Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa.
To learn more, visit us online at: www.sleeper.com

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