Data Science Manager - Market Origination

PrizePicks is the fastest-growing sports company in North America, recognized for its leading platform in Daily Fantasy Sports. The Data Science Manager will own line setting strategy, lead a team of data scientists, and oversee the development of projection models to enhance market creation and prop origination.

Responsibilities:

• 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

Requirements:

• 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
• 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