Senior Enterprise Data Scientist: ML & Analytics Leader

The Venetian Resort Las Vegas; Las Vegas (NV); On-site; USD 140,000 - 190,000; Full time

Job summary

Venetian Las Vegas Gaming, LLC is seeking a Sr Data Scientist to lead complex analytics that directly support enterprise decisions. You will manage the full lifecycle of data science projects, from problem definition through deployment and monitoring, collaborating with Operations, Marketing, Finance, and IT leadership to turn insights into actions.

The role requires mastering advanced ML, time-series forecasting, and robust governance practices, with 5% travel for conferences.

Qualifications

• 3 years of experience in data science or related roles.
• Proficiency with time series forecasting and ML model development.
• Experience with SQL, data exploration, and feature engineering.
• Familiarity with cloud platforms (GCP, AWS, Azure) and tools listed.
• Ability to communicate insights to non-technical stakeholders.

Responsibilities

• Lead complex analytical initiatives that support enterprise decision-making.
• Manage full lifecycle of data science projects from problem definition to deployment.
• Collaborate with cross-functional partners to gather requirements and translate analyses into recommendations.
• Provide thought leadership on modeling techniques and MLOps practices.
• Mentor other data scientists and ensure scalable, well-designed solutions.

Skills

Time series forecasting

Machine learning model deployment

EDA and feature engineering

SQL

Cloud platforms (GCP, Databricks, AWS,

Education

Master’s degree in Applied Data Science / Economics / Mathematics / Statistics

Tools

BigQuery

Vertex AI

Databricks

AWS

Azure

Job description

Venetian Las Vegas Gaming, LLC is seeking a Sr Data Scientist to lead complex analytics that directly support enterprise decisions. You will manage the full lifecycle of data science projects, from problem definition through deployment and monitoring, collaborating with Operations, Marketing, Finance, and IT leadership to turn insights into actions.

The role requires mastering advanced ML, time-series forecasting, and robust governance practices, with 5% travel for conferences.