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Data Science Manager - Sports Pricing

Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.

160k – 190kAtlanta, GAData ScienceRemote5+ YOE
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About the role

Responsibilities

  • Own pricing and risk strategy for 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.

Compensation & Benefits

  • Salary range: $160,000 to $190,000
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO (2 weeks strongly encouraged)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules
  • 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

Skills

SQLPythonRSimulation-Based ModelingStatistical OptimizationData ScienceStatisticsSoftware EngineeringPricing ModelsRisk Management

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