Senior Data Scientist – Commercial Analytics

🔥 13 minutes ago

🎰 Nevada – Remote

🎰 Nevada – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MGM Resorts International

WebsiteLinkedInAll Job Openings

10,000+ employees

✈️ Travel

📣 Marketing

🏨 Hospitality

Travel • Marketing • Hospitality

MGM Resorts International is a global hospitality and entertainment company renowned for its luxurious resorts and casinos. With 28 destinations, primarily in Las Vegas, the company offers a blend of exceptional customer service, fine dining, entertainment options, and event facilities. MGM is dedicated to global expansion and emphasizes diversity, sustainability, and philanthropy while providing memorable experiences to its guests. The company boasts a large workforce of 81,000 global employees and is recognized as one of FORTUNE® Magazine’s World’s Most Admired Companies®.

📋 Description

• 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

• 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

• 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