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Data Science Manager - Sports Pricing

Posted 15 days ago

PrizePicks is the fastest-growing sports company in North America according to the 2023 Inc. 5000 rankings, two years running, and the largest independent skill-based fantasy sports operator in the country. The company was recently recognized as the Fantasy Sports Business of the Year Award by the Fantasy Sports & Gaming Association and as the Fantasy/DFS Operator of the Year by EGR North America. PrizePicks is a fun, fast, and simple version of daily fantasy sports, covering a wide variety of sports leagues from the NFL and NBA to esports titles League of Legends, Counter-Strike & Valorant.

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What You’ll Do

  • Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability.
  • Lead and grow a high-performing team of pricing analysts and data scientists.
  • Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc.).
  • Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives.
  • Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin.
  • Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health.
  • Ensure data integrity and modeling quality across all pricing efforts.

What You Have

  • 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to pricing, trading, or risk management.
  • 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 simulation-based modeling and statistical optimization techniques.
  • Deep understanding of how sports and/or esports markets are structured 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.

Location & Compensation

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: 05/11/25


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

PrizePicks

About the job

Posted on

15 days ago

Job type

Full-Time

Salary

$160k–$190k USD

Category

Engineering

Region

Remote · Atlanta · United States
Apply now

Please mention that you found this job on PredictionJobs, this helps us grow. Thank you!

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