Senior Data Scientist

Caesars Entertainment

$120K — $145K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

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 such as odds formulation and in-play dynamics

Responsibilities

  • Design and refine statistical and machine learning models for betting markets
  • Extract and engineer features from live feeds to ensure data quality and integrity
  • Track model behavior through KPIs and recalibrate as necessary
  • Collaborate with Trading, Product, and Engineering teams to align model requirements with business goals
  • Stay updated with sports analytics and evaluate new modeling methods
  • Mentor junior data scientists in model design and best practices
  • Deploy models in production and implement automated testing for performance monitoring
  • Translate model insights into actionable recommendations for trading and pricing strategies

Benefits

  • Opportunity to work on cutting-edge predictive modeling techniques
  • Collaborative environment with cross-functional teams
  • Lead and mentor junior data scientists
  • Access to the latest tools and technologies in machine learning
  • Impactful role influencing company trading decisions and strategies
Full Job Description
Job Description

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.

Responsibilities

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

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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