Position Overview
Full-time or part-time Full-time
Company Name Venetian Las Vegas Gaming, LLC
Job title Sr Data Scientist - Enterprise Analytics
Job Location Las Vegas, Nevada
Position Overview
Responsible for leading complex analytical initiatives that directly support enterprise decision-making. Drive the full lifecycle of data science projects, including problem definition, data exploration, model development, validation, deployment, and ongoing performance monitoring.
Job Duties
Responsible for leading complex analytical initiatives that directly support enterprise decision-making. Drive the full lifecycle of data science projects, including problem definition, data exploration, model development, validation, deployment, and ongoing performance monitoring. Take broad or ambiguous business questions and transform them into clear analytical approaches that produce measurable impact. Collaborate closely with cross-functional partners across Operations, Marketing, Finance, Revenue Management, IT, and leadership, including gathering requirements, identifying opportunities for automation and optimization, and translating analytical outcomes into recommendations that can be understood and acted upon by both technical and nontechnical audiences. Serve as a technical expert within the team, providing thought leadership on emerging modeling techniques, advanced machine learning and AI methodologies, best practices for experimentation and validation, and modern approaches to model governance and MLOps. Guide and mentor other data scientists, elevate the overall technical rigor of the team, and ensure that solutions are scalable, well-designed, and aligned with long-term business strategy. Introduce innovative techniques, strengthen the team's analytical capabilities, and support the organization in making high-quality, data-driven decisions. 5% domestic travel for work-related conferences.
Minimum Education & Experience Requirements
Master's degree or foreign equivalent in Applied Data Science, Economics, Mathematics, Statistics or closely related field of study, plus 3 years of experience in job offered or as a Data Scientist.
Requires 3 years of experience in
(1) time series forecasting techniques (including ARIMA, Prophet) while working with complex, high-volume datasets;
(2) building, deploying, and tuning machine learning models (Random Forest, XGBoost) and deep learning models (CNN, RNN, LSTMs, Transformers) for structured and unstructured data;
(3) exploratory data analysis (EDA), feature engineering, and statistical modeling to extract actionable insights;
(4) SQL for querying databases and datasets;
(5) cloud platforms (including GCP, Databricks, Microsoft Azure, AWS) and using GCP tools such as BigQuery, BQ/ML, Vertex AI, and Cloud Functions for data storage, processing, and model development;
(6) Python and machine learning libraries (TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost);
(7) data visualization tools (Matplotlib, Seaborn) to communicate complex insights to non-technical stakeholders.
Essential Duties & Responsibilities
Additional Duties & Responsibilities
Additional Duties & Responsibilities
Additional Duties & Responsibilities
Minimum Qualifications
Physical Requirements
