Data Scientist: AI Analytics for Growth (Hybrid)

cirquedusoleil; Las Vegas, Northern (NV, KY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Professional growth

Group insurance

Retirement savings

Collaborative culture

Job summary

Cirque du Soleil Entertainment Group is seeking a Data Scientist to join the Business Analytics team in Las Vegas. The role is full-time with a hybrid work model requiring four in-office days per week, focusing on solving complex business problems, building scalable data products, and expanding AI use within analytics across marketing, ticketing, revenue, digital, and customer analytics.

You will develop models, data products, and analytical solutions to enable faster, better decision-making and

Qualifications

• 3+ years of relevant data science or analytics experience.
• Strong SQL skills with ability to transform and validate complex datasets.
• Experience with Python or similar language for data science.
• Experience with predictive modeling and ML methods.
• Familiarity with cloud data platforms and BI tools.
• Knowledge of generative AI and AI-assisted analytics.

Responsibilities

• Translate business questions into analytical solutions and data products.
• Develop predictive and statistical models for demand, revenue, and customer behavior.
• Design scalable data models and datasets for wide consumption.
• Work hands-on with large datasets to identify trends and data quality issues.
• Develop AI-enabled analytics workflows and validate outputs.
• Communicate technical insights to technical and non-technical audiences.

Skills

SQL

Python

Predictive modeling

Cloud data platforms

BI/Visualization

Generative AI familiarity

Analytical mindset

Collaboration

Job description

Cirque du Soleil Entertainment Group is seeking a Data Scientist to join the Business Analytics team in Las Vegas. The role is full-time with a hybrid work model requiring four in-office days per week, focusing on solving complex business problems, building scalable data products, and expanding AI use within analytics across marketing, ticketing, revenue, digital, and customer analytics.

You will develop models, data products, and analytical solutions to enable faster, better decision-making and