Head of Data & Science and Machine Learning

Scientific Games • Alpharetta, GA

23h

About The Position

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary As the Head of Data Science & Machine Learning, you will be the lead architect of the "Intelligence Layer" for the Sovereign Platform. You will lead an elite team to build, deploy, and scale models that drive top-line growth, optimize retail and digital operations, and enhance player experiences. This role is focused on high-velocity commercialization - moving from complex econometric and ML theories to production-grade products that directly impact the P&L Commercial AI Product Development: Lead the design and deployment of specialized models across the Scientific Games portfolio, including: Player Ecosystem: Recommender systems for upsell/cross-sell and Player Lifetime Value (LTV) optimization. Gaming & Revenue: Pricing optimization, game design modeling, and advanced forecasting for revenue maximization. Strategic Optimization: Portfolio optimization and econometric modeling to guide R&D and capital allocation. Operational Intelligence: Supply chain and logistics optimization models to reduce waste and improve retail availability. High-Velocity Deployment Lifecycle: Establish the global standard for the "Three-Stage Deployment" model: Rapid Prototyping: Moving from hypothesis to MVP in weeks. Shadow Deployment: Validating model performance against live data without impacting production. Production: Seamlessly integrating models into the Sovereign Platform for real-time inference. Monetization & Experimentation: Drive a culture of rigorous A/B testing and experimentation to validate commercial monetization strategy. Platform Partnership: Work in lockstep with the Head of Data & AI Platform to ensure the ML infrastructure (MLflow, Databricks) supports high-scale, low-latency model serving. Leadership: Recruit and mentor top class talents across ensuring high technical standards and a focus on commercial outcomes.

Requirements

• 10+ years in Data Science/ML leadership
• Proven experience in a high-transaction industry (Gaming, FinTech, or E-commerce) where model accuracy directly dictates margin
• Deep expertise in most of the following areas: Econometrics & Forecasting: Time-series analysis, causal inference, and demand forecasting. Optimization: Linear/non-linear programming for supply chain and portfolio management. Behavioral Modeling: Churn prediction, LTV, and propensity modeling
• Strong understanding of the "plumbing" required for deployment—Docker, Kubernetes, and API integration for real-time model serving
• Advanced degree (Ph.D. or Masters) in a quantitative field (Economics, Math, Statistics, CS, or Operations Research)

Nice To Haves

• Hands-on experience with Databricks, Spark, and MLflow is highly preferred.

Responsibilities

• Lead the design and deployment of specialized models across the Scientific Games portfolio
• Establish the global standard for the "Three-Stage Deployment" model
• Drive a culture of rigorous A/B testing and experimentation to validate commercial monetization strategy
• Work in lockstep with the Head of Data & AI Platform to ensure the ML infrastructure (MLflow, Databricks) supports high-scale, low-latency model serving
• Recruit and mentor top class talents across ensuring high technical standards and a focus on commercial outcomes

What This Job Offers

• Job Type: Full-time
• Career Level: Executive