Sr Data Scientist

Title: Sr Data Scientist
Location: Las Vegas, NV 89109 (hybrid 3days a week)
Duration: 06+ Months

Job Description:
The primary responsibility of the Senior Data Scientist is to conduct analyses using statistics, econometric models, machine learning (ML) algorithms, and other tools to discover the underlying demand drivers of various KPIs across the business and to leverage these findings to transform data into actionable recommendations for management that generate incremental EBITDA.
The Senior Data Scientist requires a robust understanding of statistics, probability, and economic theory; applying this knowledge to assess the analytical needs of an array of projects, across differing business departments such as but not limited to Revenue Management, Casino, Hotel Operations, Marketing, and F&B. The Senior Data Scientist is responsible for assessing a given project and selecting the appropriate methodologies from a suite of Data Science techniques such as linear & logistic regressions, A/B test design, artificial intelligence, ML training and forecasting (e.g., SARIMAX, XGBoost, ANN, Bayesian), supervised and unsupervised ML, and natural language processing.
Finally, the Senior Data Scientist mentors and trains junior data scientists on the best practices toward model optimization, data wrangling and cleansing, the interpretation of results, and formulating actionable recommendations to share with the management.

Essential Duties & Responsibilities

Key Responsibilities

Develop, test, and implement Data Science projects from initial conception to implementation using python.
Utilize advanced statistical and econometric techniques to uncover insights that guide leadership s strategic decisions.
Discover new optimization opportunities that yield incremental EBITDA
Present complex analyses and concepts in intuitive ways to non-technical team members across all levels of the company using PowerPoint, BI dashboards, and reports
Responsible for identifying data-driven insights through ad-hoc analyses, applied models, presentations, and automated reports and dashboards (e.g., Tableau, SSRS, Cognos, Excel, etc.)
Develop, compare, and select optimal forecasting models using varying techniques such as, but not limited to: SARIMAX, XGBoost, Neural Nets, probabilistic models, etc.
Recognize when to utilize econometric models such as linear and logistic regression analysis.
Run corresponding validation tests and interpret resulting coefficients statistical significance and relationship with the dependent variable
Rigorously test results and hypotheses
Apply appropriate data integrity tests and corrections (e.g., endogeneity, heteroskedasticity, autocorrelation, etc.)
Deliver recommendations to management based on the models results
Develop methodologies to measure the impact of when recommendations are implemented
Create and present insights through BI dashboards and reports based on applied models, or tables and views developed in SSRS, Google Cloud Platform, Excel, or other data environments
Mentor and train junior data scientists on best practices on model optimization techniques, data integrity tests and corrections, and selecting best model for analysis, and appropriate interpretation of the results
Instinctive ability to discover the underlying rationality for various requests (e.g.: provide reporting and analysis that adds value and insights beyond the original request)
Develop subject matter expertise within business departments operations and inherent data structures
Proactively research and evaluate emerging models, algorithms, and AI techniques including cutting-edge methods in machine learning, NLP, and generative AI and incorporate them into projects when appropriate to maximize analytical impact and business value
Leverage Google Cloud Platform and Databricks platforms for scalable data processing, model deployment, and collaborative development when applicable
Performs other related duties as assigned.

Minimum Qualifications

Bachelor s degree in Economics, Statistics, Data Science, Statistics, MIS, or relevant field is required.
Master s degree in similar field is preferred.
Must be able to obtain and maintain a Nevada Gaming Control Board registration and any other certification or license, as required by law or policy
3+ years of hands-on work experience building econometric models, machine learning, time series, A/B testing, and forecasting; from initial project conception through the data wrangling and execution of the model, or 2+ years of similar experience plus a master s degree in related discipline is required
2+ years of experience using analytic SQL or Big Query is required
2+ years of experience using Microsoft Excel (e.g., Excel formulas, data wrangling, graphs, pivot tables, etc.), Word, and PowerPoint is required
2+ years of developing experience in python is required
1+ years of experience in BI and Analytics environment (Power BI, Tableau, SSRS, or similar) is required
Experience with Google Cloud Platform (Google Cloud Platform) and/or Databricks is a strong plus
Experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and generative AI frameworks
Familiarity with LLMs, prompt engineering, and fine-tuning technique
Excellent critical thinker and effective problem solver with creative solutions
Ability to communicate effectively in a positive/upbeat fashion utilizing English, both in oral and written form
Have interpersonal skills with focused attention to guest needs to deal effectively with all business contacts

Physical Requirements

Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned
Physically access all areas of the property and drive areas with or without reasonable accommodation.
Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.
Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.
Ability for prolonged periods of time to walk, stand, stretch, bend and kneel.
Work in a fast-paced and busy environment.
Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.