Caesars Entertainment
Senior Data Scientist
Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model developmentdesigning, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management. Key Responsibilities
Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets. Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity. Continuously track model behavior through KPIsP&L, hold, liability, and recalibrate based on findings. Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts. Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class. Guide junior data scientists and analysts in model design, experiments, and best practices. Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy and drift monitoring. Translate model insights into clear recommendations for trading strategies, risk limits, event-level pricing decisions. Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business. Qualifications
Degree in Statistics, Mathematics, Computer Science, Data Science, or similar. 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models. Deep knowledge of probability, statistical methods, and advanced ML techniques. Proficient in Python (NumPy, pandas, scikit-learn, etc). Experience with automated model deployment and testing frameworks. Strong SQL and data pipeline understanding Understanding of betting mechanicsodds formulation, overround, liability, in-play dynamics. Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions. Nice to Have
Avid sports fan Prior roles at leading sportsbooks (FanDuel, DraftKings, BetMGM, Fanatics, etc.) Experience building sports models Experience programming in Go Experience Sports Betting
Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model developmentdesigning, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management. Key Responsibilities
Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets. Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity. Continuously track model behavior through KPIsP&L, hold, liability, and recalibrate based on findings. Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts. Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class. Guide junior data scientists and analysts in model design, experiments, and best practices. Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy and drift monitoring. Translate model insights into clear recommendations for trading strategies, risk limits, event-level pricing decisions. Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business. Qualifications
Degree in Statistics, Mathematics, Computer Science, Data Science, or similar. 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models. Deep knowledge of probability, statistical methods, and advanced ML techniques. Proficient in Python (NumPy, pandas, scikit-learn, etc). Experience with automated model deployment and testing frameworks. Strong SQL and data pipeline understanding Understanding of betting mechanicsodds formulation, overround, liability, in-play dynamics. Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions. Nice to Have
Avid sports fan Prior roles at leading sportsbooks (FanDuel, DraftKings, BetMGM, Fanatics, etc.) Experience building sports models Experience programming in Go Experience Sports Betting