Senior Data Scientist

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.

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

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