Senior Data Scientist - Real-Time Sports Pricing & Modeling

Caesars Sportsbook & Casino; Las Vegas (NV); On-site; USD 130,000 - 190,000; Full time

Job summary

Caesars Digital in Las Vegas is seeking a Senior Data Scientist to own end-to-end model development for real-time odds, pricing, and risk management across sportsbook markets.

You will engineer features from live data feeds, track KPIs like P&L and liability, and collaborate with Trading, Product, and Engineering to deploy robust models using APIs, while mentoring junior data scientists.

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.

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

Skills

Python

Machine Learning

SQL

Model Deployment

Data Pipelines

Communication

Sports Betting

Education

Bachelor's in Statistics/CS/Math

Tools

APIs

Docker

Airflow

Job description

Caesars Digital in Las Vegas is seeking a Senior Data Scientist to own end-to-end model development for real-time odds, pricing, and risk management across sportsbook markets.

You will engineer features from live data feeds, track KPIs like P&L and liability, and collaborate with Trading, Product, and Engineering to deploy robust models using APIs, while mentoring junior data scientists.