Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model development—designing, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management.At Caesars Digital, We Don’t Just Play the Game — We Set the Standard.As a proud part of Caesars Entertainment, the world’s premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence.We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers.From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we’re building something extraordinary. And we want you to be part of it.Ready to make your mark on the Empire?Explore our open roles and discover how you can help shape the future of gaming.Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars.QualificationsDegree 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 understandingUnderstanding of betting mechanics—odds formulation, overround, liability, in-play dynamics.Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions.Nice to HaveAvid sports fanPrior roles at leading sportsbooksExperience building sports modelsExperience programming in GoExperience Sports BettingKey ResponsibilitiesDesign and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting marketsExtract 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 KPIs—P&L, hold, liability, and recalibrate based on findingsWork 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 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, performance benchmarking, and drift monitoring. Translate model insights into clear recommendations for trading strategies, risk limits, and event-level pricing decisions. Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated businessFull timePosting Date: 2026-08-06
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