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Senior Data Scientist

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Hybrid

Senior Data Scientist

Caesars Entertainment

Senior Data Scientist

Skills

SQL QueriesPythonData ScienceNumPypandasData AnalysisMachine LearningRisk Management

3 months ago

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Important information


Contract type:

Permanent

Location:

Las Vegas, NV, USA

Work mode:

Hybrid

Published on:

7 August 2026

What they need


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

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