Senior Data Scientist – Commercial Analytics

MGM Resorts International

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

Posted 11/8/2026full-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 analysis to enhance business strategies and optimize KPIs. Proficient in collaborating with cross-functional teams to deliver actionable insights and maintain robust data science frameworks.

Highest-signal resume keywords

AI/ML Model DevelopmentPredictive ModelingData Collection and Pre-processingCI/CD Framework MaintenanceAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingHyper-parameter TuningFeature EngineeringModel Performance MonitoringData Mining

Soft Skills

CollaborationCommunicationPeer Review

Tools & Technologies

Data Science FrameworksA/B Testing FrameworkData Pipeline Tools

Certifications & Qualifications

Bachelor's DegreeAdvanced Degree (MS/PhD) Preferred

Industry Keywords

HospitalityRetailCustomer Service

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 with 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, 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 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 a minimum viable product — Preferred
Experience in an agile, sprint-based approach — Preferred
Experience in hospitality, retail, or customer-service oriented industry — Preferred

Benefits

Comp & perks

Wellness incentive programs to help you stay healthy physically and mentally
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