Sr Data Scientist Commercial Analytics

J  o  b    D  e  s  c  r  i  p  t  i  o  n

Job Profile Title:

Sr Data Scientist Commercial Analytics

Job Code:

11714

Profile Title:

11714 Sr Data Scientist Commercial Analytics

Grade / Band:

IC4

FLSA Status:

Exempt

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 and seasoned data science individual contribute to the personalization initiatives. This hands-on individual contributor will develop and evolve AI/ML models, and their orchestrations. It resides in the MGM's Commercial Strategy & Consumer Engagement group, and reports to the Director of Data Science and Commercial Analytics. The role collaborates with the Commercial Strategy, Customer Engagement, Marketing, Creative, Product, and Engineering teams. The position is responsible for all hands-on data science contributions such as data munging and normalization, feature engineering, modeling, hyper-parameter tuning, deployment, experimental design, test execution, and measurement.

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 enhancement to the personalization and commercial strategies by adding Data Science and analytic models

Develops predictive and statistical models. Hyper-parameter-tunes, scales, and deploys models. Orchestrates next best actions, maintains Data Science CI/CD framework, and improves decision

support systems. Executes processes and tools to monitor and analyze model performance

Peer-reviews code, writes unit tests, and provides feedback on data pipeline and modeling approaches

Collaborates with other data scientist and recognized subject matter experts in developing and deploying models

Collaborates with analysts and engineers to specify data requirements. Performs data collection, mining, pre-processing, normalization, and feature engineering

Creates audience appropriate documents and presentations with insights, results, and recommendations; and presents those to business partners/stakeholders and non-technical audiences

Develops company A/B test framework, evaluates model quality, conducts test/learn experiments, tests hypotheses, and literally improves data science models to optimize corporate KPIs

Performs other job-related duties as requested

Proof of eligibility to work in the United States

Bachelor's Degree

Required

5+ Years of Prior Relevant Experience

Required

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

Expert level skills in at least 4 of: Forecasting, Rec engine, statistics and optimization, machine learning, and Markov and graph theory

Hands-on expert level skills in Python, SQL, Spark, Keras, Tensorflow

Mastery level AI/ML modeling expertise in at least 4 of: Personalization, Marketing, Customer Experience, Customer Analytics, and Venue Analytics.

Experience in leading, contributing, and deploying 2 + projects simultaneously while partnering with cross-functional organizations

Able to implement strategic goals set by the leader of Commercial Strategy & Consumer Engagement

Strong communication and teamwork skills

Seasoned Data Scientist of AI/ML to contribute to large projects with minimal supervision

Able to solve highly complex problems drawing solutions from best practices

Skilled in conducting extensive analysis on the root cause of problems

Balancing

X

Bending

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Carrying 10 pounds

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Clear speech - simple

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Clear speech - complex

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Climbing

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Distant vision

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Driving

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Flexibility - upper body

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Flexibility - lower body

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Hearing/Listening

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Kneeling

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Lifting 10 pounds

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Near vision

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Normal vision

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Pushing/Pulling

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Reaching

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Sitting

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Standing

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Typing

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Walking

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Communication - verbal

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Communication - written

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Confined area

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Contacts - works alone

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Contacts - works around others

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Contacts - works with others

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Exposure to dust / dirt

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Exposure to fumes / odors

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Extreme cold

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Extreme heat

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Fast pace

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Hazardous conditions - chemicals

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Hazardous conditions - high structures

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Hazardous conditions - high voltage

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Indoors

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Noise levels - low to moderate

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Noise levels - high

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Office conditions

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Outdoors

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Restricted area

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Shifts

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Smoke

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Travel

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Wet/Humid

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Analytical

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Clerical

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Comprehension

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Crisis incidents

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Customer service

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Decision making

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High pressure

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Judgment

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Long hours

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Math skills - advance

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Math skills - basic

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Organization

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Reading - simple

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Reading - complex

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Repetition

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Tight deadlines

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Writing - simple

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Writing - complex

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