Graduate Data Scientist

Caesars Entertainment-posted 5 days ago
Full-time • Entry Level
Onsite • Las Vegas, NV
5,001-10,000 employees
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Join our Sportsbook team as a Graduate Data Scientist, where you'll gain hands-on experience working at the intersection of quantitative modeling and trading operations. You'll help support the development and monitoring of predictive models that power real-time odds and trading decisions, while also participating in trading workflows for pre-match and in-play sports betting markets. This is an excellent opportunity for an analytically minded graduate with a passion for sports, data, and betting markets to learn from an experienced team and grow into a hybrid quant/trading role. This is an on-site position at our Las Vegas, NV office.

  • Assist in building, testing, and maintaining statistical models used to price sportsbook markets (e.g., moneyline, spreads, totals, props).
  • Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds.
  • Analyze performance metrics like margin, P&L, and customer behavior to improve pricing accuracy and model calibration.
  • Work closely with Trading, Product, and Engineering teams to support model improvements and ensure seamless trading execution..
  • Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
  • Support traders with pricing, risk management, and market monitoring during live events.
  • Monitor odds movement, betting patterns, and liabilities to help ensure market efficiency.
  • Contribute to setting pre-match and in-play prices using internal tools and models.
  • Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or similar.
  • Solid foundation in probability and statistics, with an interest in applying these to real-world problems.
  • Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy).
  • Passion for sports and interest in sportsbook mechanics or financial markets.
  • Strong attention to detail, especially when working with live data and pricing environments.
  • Willingness to work flexible hours during major sporting events as needed.
  • Familiarity with sports betting odds and common market types (e.g., spread, totals, player props).
  • Exposure to sports analytics or participation in data competitions (e.g., Kaggle, university research).
  • Experience with data visualization tools or dashboarding
  • Prior experience in a sportsbook, trading desk, or similar high-tempo environment.
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