Senior Data Scientist

William Hill Sportsbook
  • Las Vegas, NV
    30 days ago

    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

    Numbers & Facts

    LocationLas Vegas, NV

    Skills

    • Application Programming Interface (API)unmatched
    • Benchmarkingunmatched
    • Best Practicesunmatched
    • Business Modelunmatched
    • Computer Scienceunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Experiment Designunmatched
    • Financial Modelingunmatched
    • Gamingunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Performance Metricsunmatched
    • Precision Testingunmatched
    • Predictive Modelingunmatched
    • Pricingunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Product Pricingunmatched
    • Profit & Lossunmatched
    • Python Programming/Scripting Languageunmatched
    • Riskunmatched
    • Risk Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Sportsunmatched
    • Sportsbookunmatched
    • Statisticsunmatched
    • Team Playerunmatched
    • Test Automationunmatched

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