Caesars Entertainment
Senior Data Scientist
Las Vegas, Nevada · Hybrid · Posted yesterday
Opens edmn.fa.us2.oraclecloud.com
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- Salary
- Not listed
- Job type
- Full-time
- Work mode
- Hybrid
- Source
- Oracle (employer's hiring system)
Skills mentioned
Machine Learning, Data Science, Python, SQL, Pandas, NumPy, scikit-learn, Statistics
About the role
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.
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 KPIs—P&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 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 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 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 Have
- Avid sports fan
- Prior roles at leading sportsbooks
- Experience building sports models
- Experience programming in Go
- Experience Sports Betting
Job ID or-edmn-fa-us2-oraclecloud-com-cx-1-87430 · Original posting ↗
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