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Data Science Manager - Market Origination

Lead a team of data scientists and analysts to own line setting strategy, projection models, and market origination for fantasy sports and esports props. Requires 5+ years in sports betting/fantasy, management experience, and strong technical skills in SQL/Python/R.

160k – 190kAtlanta, GAData ScienceRemote5+ YOE

About the role

Responsibilities

  • Own line setting strategy and projection accuracy for 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.

Compensation & Benefits

  • Typical 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

SQLPythonRPredictive ModelingForecastingStatistical TechniquesData ScienceStatisticsSoftware Engineering

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