Data Science Manager – Sports Pricing

🕒 4 days ago

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PrizePicks

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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