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Data Science Sports Jobs (NOW HIRING)

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... Lead and grow a high-performing team of data scientists and analysts focused on market creation and ...

Ensure data quality, integrity, and security by developing and enforcing best practices for data governance, validation, and compliance across all sports science platforms. * Assess, implement, and ...

... global sports betting and gaming industry. Experience and Skills * A minimum of 3-5 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g ...

Senior Data Scientist

$120K - $140K/yr

... sports and live event organizations. * Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance. * Perform model ...

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+ ...

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Data Science Sports information

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$22.5K

$106.5K

$204K

How much do data science sports jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data science sports in the United States is $106,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Sports position, and why are they important?

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 job?

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 are the typical day-to-day responsibilities of a Data Science Sports professional?

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.

More about Data Science Sports jobs
What cities are hiring for Data Science Sports jobs? Cities with the most Data Science Sports job openings:
What are the most commonly searched types of Data Science Sports jobs? The most popular types of Data Science Sports jobs are:
What states have the most Data Science Sports jobs? States with the most job openings for Data Science Sports jobs include:
Infographic showing various Data Science Sports job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $106,514 per year, or $51.2 per hour.

Data Science Manager - Market Origination

AEG

Atlanta, GA • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
What you'll do:
  • Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality.
  • Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination.
  • Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.).
  • Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage.
  • Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog.
  • Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring.
  • Ensure data integrity and modeling quality across all origination efforts.
What you have:
  • 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to line setting, trading, or player performance modeling.
  • Strong technical foundation in data science, statistics, or software engineering.
  • Demonstrated management experience - leading, mentoring, and scaling high-output teams.
  • Proficiency in SQL and Python or R; experience with predictive modeling, forecasting, and statistical techniques.
  • Deep understanding of how player props and sports/esports markets are structured, originated, and modeled.
  • Proven track record of driving complex projects from ideation through launch in a fast-paced environment.
  • Strong communicator who thrives at the intersection of data, product, and operations.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks: The typical salary range for this position is $160,000 to $190,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 05/11/26
Benefits you'll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992