Senior Data Scientist – Commercial Analytics

MGM Resorts International

. Independently contribute to multiple complex Data Science projects with minimal supervision .

Posted 10/8/2026full-timeRemote • Nevada • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML model development, predictive modeling, and data science CI/CD frameworks, with a strong ability to enhance business strategies through data-driven insights and effective collaboration with cross-functional teams.

Highest-signal resume keywords

AI/ML Model DevelopmentPredictive ModelingData Science CI/CD FrameworksFeature EngineeringA/B Test Framework Development

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData MiningData Pre-ProcessingNormalizationHyper-Parameter TuningModel DeploymentExperimental DesignTest ExecutionModel Performance MonitoringStatistical Modeling

Soft Skills

CollaborationCommunicationFeedback Provision

Certifications & Qualifications

Bachelor's DegreeAdvanced Degree (MS/PhD) in STEM Fields

Industry Keywords

HospitalityRetailCustomer-Service Oriented IndustryAgile Methodology

About the role

Key responsibilities & impact

Independently contribute to multiple complex Data Science projects with minimal supervision
Perform hands-on AI/ML model development and implementation
Enhance personalization and commercial strategies through Data Science and analytic models
Develop predictive and statistical models
Hyper-parameter-tune, scale, and deploy models
Orchestrate next best actions
Maintain the Data Science CI/CD framework
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 data scientists and subject matter experts to develop and deploy 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
Present insights, results, and recommendations to business partners, stakeholders, and non-technical audiences
Develop the company A/B test framework
Evaluate model quality, conduct test/learn experiments, test hypotheses, and improve data science models to optimize corporate KPIs

Requirements

What you’ll need

Bachelor's Degree
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
Experience with AI/ML model development and implementation
Experience with data munging and normalization, feature engineering, modeling, hyper-parameter tuning, deployment, experimental design, test execution, and measurement
Experience developing predictive and statistical models
Experience with data science CI/CD frameworks and model performance monitoring
Experience writing code, unit tests, and reviewing code
Experience with data collection, mining, pre-processing, normalization, and feature engineering
Experience developing A/B test frameworks and conducting test/learn experiments

Benefits

Comp & perks

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 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