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. 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

Requirements

Must-haves

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
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-haves

Avid sports fan
Prior roles at leading sportsbooks
Experience building sports models
Experience programming in Go
Experience Sports Betting

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonsqlgo

Platform: oracle-cloud
Effort: medium