Sr Data Scientist Commercial Analytics

Role Description

MGM Resorts International has embarked on a multi-year journey in a 1:1 personalization initiative to redefine the casino resort, hospitality, and entertainment experience for guests. The Senior Data Scientist is an exciting opportunity for a seasoned data science professional to contribute to these personalization initiatives. This hands-on individual contributor role will develop and evolve AI/ML models and their orchestration to drive customer engagement and business value. The position is part of the Commercial Data Science team within MGM's Marketing organization and collaborates closely with Commercial Strategy, Customer Engagement, Loyalty, Creative, Product, and Engineering teams. The role is responsible for end-to-end data science contributions, including:

• Data munging and normalization
• Feature engineering
• Modeling
• Hyper-parameter tuning
• Deployment
• Experimental design
• Test execution
• Measurement

Qualifications

• Bachelor's Degree
• Minimum of 5+ Years of Prior Relevant Experience
• Advanced degree (MS/PhD) in computer science, engineering, mathematics, statistics, operations research, economics, or STEM related fields - Preferred
• Proven experience balancing quality of output with short timelines such as developing minimum viable product - Preferred
• Experience in agile--sprint-based approach - Preferred
• Experience in hospitality, retail, or customer-service oriented industry - Preferred

Requirements

• Independently contribute to multiple complex Data Science projects with minimal supervision
• Perform hands-on tasks of a seasoned SME of AI/ML model development and implementation
• Make significant enhancements to the personalization and commercial strategies by adding Data Science and analytic models
• Develop predictive and statistical models, hyper-parameter-tune, scale, and deploy models
• Orchestrate next best actions, maintain Data Science CI/CD framework, and improve decision support systems
• Execute processes and tools to monitor and analyze model performance
• Peer-review code, write unit tests, and provide feedback on data pipeline and modeling approaches
• Collaborate with other data scientists and recognized subject matter experts in developing and deploying models
• Collaborate with analysts and engineers to specify data requirements
• Perform data collection, mining, pre-processing, normalization, and feature engineering
• Create audience-appropriate documents and presentations with insights, results, and recommendations
• Develop company A/B test framework, evaluate model quality, conduct test/learn experiments, and improve data science models to optimize corporate KPIs

Benefits

• Wellness incentive programs to help you stay healthy physically and mentally
• Access to company hotel, food and beverage, retail, and entertainment discounts
• Discounts with company partners on things like travel, electronics, online shopping, and more
• Free parking on and off shift
• Health & Income Protection benefits (for eligible employees)
• Professional and personal development through programs and networking opportunities
• Volunteer opportunities in the community