Executive Director - Data Science

Reporting to the VP of Casino Loyalty Marketing, this individual will own the data-science function for Wynn Las Vegas (“Wynn”) and be chiefly tasked with enabling the execution of Wynn’s gaming marketing campaigns (likely extending to include non-gaming in the future as the function progresses). Key functional responsibilities include:Develop 360-Degree Customer View: Collaborate with the development team to establish business and technical requirements for Wynn’s comprehensive customer view capability.Manage Analytical Data-Warehouse: Oversee Wynn’s proprietary analytical data warehouse, including data aggregation and prediction pipelines.Customer Value Metrics: In consultation with gaming and non-gaming business owners, develop customer value metrics (e.g., LTV) and associated segments; manage the modeling for LTV prediction and marketing offer derivation for various segments.Team Development: Hire and mentor junior data science experts focused on both gaming and non-gaming aspects of Wynn’s business.Machine Learning Predictions: Work with Wynn’s broader casino marketing departments to develop and productionize machine learning predictions to maximize customer LTV.Response Rate and Lift Modeling: Apply knowledge of response rate, incremental lift, preference modeling, and return on marketing reinvestment.Offer Personalization: Enhance offer attractiveness and optimization through both qualitative and quantitative personalization techniques.Campaign Design and Retargeting: Provide informed opinions on direct marketing campaign design and retargeting activities.Communication and Presentation: Exhibit a mature and confident presentation style, effectively communicating complex data science results across the organization.Business Trend Analysis: Review recent business trends to extract insights for data-driven predictions and marketing campaign adjustments; possess deep knowledge of A/B testing and propensity matching.Emerging Analytical Frameworks: Stay informed about emerging machine learning approaches and analytical frameworks/platforms, including AI deep learning, LLM, and multimodal models, and evaluate their potential applications and monetization strategies for Wynn’s products.