Graduate Data Scientist

Summary

**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** * 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. **Qualifications** * 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. **Nice to Have** * 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.