Data Scientist, Global Gaming

About the role

The Data Scientist will support Casino Operations Analytics Team by applying machine learning and advanced analytics to improve operational decision-making and guest experience.

Responsibilities

• Translating operational business questions into analytical and machine learning solutions.
• Owning projects end-to-end: data exploration, cleaning, feature engineering, modeling, validation, and deployment.
• Building predictive models for use cases such as: Optimizing product offerings and mix. Analyzing guest play behavior and segmentation. Predicting retention and lifetime value. Demand forecasting and operational planning. Supporting experimentation and incentive effectiveness analysis.
• Ensuring data integrity and model reliability.
• Communicating insights clearly to both technical and business stakeholders.
• Proactively identifying opportunities to improve analytical capabilities within the team.

Qualifications

• Bachelor's Degree Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field required.
• Masters Degree Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field preferred.
• Minimum 4 years of hands-on experience in data science or applied machine learning.
• Experience building predictive models using real-world, large-scale structured data.
• Experience delivering models into production or operational environments.
• Experience working cross-functionally with business stakeholders.