Senior Data Scientist

Caesars Sportsbook; Las Vegas (NV); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Caesars Sportsbook is seeking a Senior Data Scientist to design, deploy, and refine predictive and pricing models powering real-time odds, trading decisions, and risk management. You will extract features from live feeds, monitor model KPIs, and collaborate with Trading, Product, and Engineering teams to ensure successful rollouts.

The role requires advanced ML knowledge, strong Python/SQL skills, and experience with automated deployment.

Formación

• 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.
• 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.

Responsabilidades

• Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across sports betting markets.
• Extract and engineer features from live feeds ensuring data quality and integrity.
• Track model behavior through KPIs—P&L, hold, liability, and recalibrate based on findings.
• Collaborate with Trading, Product, and Engineering teams to translate goals into model requirements.
• Deploy models in production via APIs or model engines with automated testing for accuracy and drift monitoring.
• Translate model insights into clear recommendations for trading strategies and risk limits.

Conocimientos

Statistical reasoning

Machine learning

Data analysis

Communication

Team collaboration

Educación

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or similar

Herramientas

Python

SQL

Go

Model deployment frameworks

API deployment

Descripción del empleo

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