Data Science Manager - Pricing

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.

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 the 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.