Data Science Manager - Sports Pricing
New
P
PrizePicksSports, Gaming
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-RemoteFull-TimeManager
Salary160,000 - 190,000 USD per year
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- PythonSQLData scienceRisk ManagementSoftware EngineeringR
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.
Responsibilities
- 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.
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