What are the responsibilities and job description for the Graduate Data Scientist position at Harrah's Cherokee Valley River?
About The Role
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.
Key Responsibilities
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.
Key Responsibilities
- 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.