Executive Director - Data Science

Job Description

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.

Qualifications

Technical Qualifications:

• Educational Background: Master’s or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field.

• Programming: Expert in Python with 8+ years of industry-level programming experience, including object-oriented programming. Proficiency in software engineering principles, algorithms, and data structures. Capable of conducting high-standard, detailed, hands-on code reviews for the data science team. Knowledge of R is a plus but not required.

• Machine Learning Models: Strong expertise in a wide array of traditional supervised machine learning models (e.g., logistic regression, XGBoost) and unsupervised algorithms (e.g., dimensionality reduction, clustering).

• Deep Learning Architectures: Experience with deep learning architectures (e.g., transformers) and frameworks (e.g., PyTorch, TensorFlow), and related experiment tracking libraries (e.g., WandB, MLflow).

• Distributed Computing and Cloud Platforms: Knowledge of distributed computing, cloud platforms (e.g., BigQuery, Snowflake, Databricks), and big data technologies like Spark.

• A/B Testing Design: Extensive experience in designing rigorous A/B tests and integrating them with model iterations to achieve measurable success.

• ML System Design: Proven experience in ML system design, orchestrating the productionalization of data science/ML products with high robustness and scalability.

• Data Visualization: Experience with data visualization tools (e.g., Tableau, PowerBI).

• CRM Applications: Experience with CRM applications like Salesforce and customer engagement platforms like Braze is a bonus.

Pivotal Experience & Expertise:

Data Science Expertise

• Demonstrated ability to define, implement, and improve data strategy, analytics, and transformation frameworks; sophisticated understanding of various pros/cons and ideal use cases for available tools and methodologies
• 10+ years of machine learning, advanced analytics, or data science experience
• Understanding of predictive analytics and modeling; experience improving organizational decision-making through data.

Team Leadership

• A track record of leading data science teams, reevaluating and upgrading talent where appropriate
• Ability to deliver key data / ML products and capabilities in order to support the organization’s aggressive growth

Stakeholder Management

• Ability to forge and leverage strong business relationships with multiple stakeholders across
• the enterprise to establish and sustain a data-driven culture.
• Proven ability to influence both technical and non-technical stakeholders to drive outcomes
• Lead the creation of new data-driven approaches to generate business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.

Environment

• Experience transforming a function in a consumer-centric business such as retail, hospitality,
• entertainment/gaming, or consumer tech.
• Prior experience operating in an environment in which data & analytics efforts tied directly to continuous improvement and aided real-world decision-making.

Additional Information

Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws confidential according to EEO guidelines.