Data Scientist

Cirque du Soleil Entertainment Group

. Partner with analysts and business stakeholders to translate complex business questions into analytical solutions, models, and data products .

Posted 9/15/2026full-timeLas Vegas • Nevada • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and advanced analytics, with strong capabilities in predictive modeling, machine learning, and data architecture. Proficient in SQL and Python, with a focus on developing scalable analytical solutions and communicating insights effectively to diverse audiences.

Highest-signal resume keywords

Data SciencePredictive ModelingSQLPythonMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine LearningData ArchitectureAnalytical Data ModelingData EngineeringStatistical ModelingData AnalysisData TransformationForecastingOptimization

Soft Skills

CollaborationCommunicationAnalytical Curiosity

Tools & Technologies

Cloud Data PlatformsBI PlatformsVisualization ToolsAI-Assisted Development Tools

Industry Keywords

Analytics EngineeringCustomer AnalyticsMarketing EffectivenessRevenue OpportunitiesData Quality

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Partner with analysts and business stakeholders to translate complex business questions into analytical solutions, models, and data products
Develop predictive and statistical models to understand demand, customer behavior, marketing effectiveness, revenue opportunities, and other business outcomes
Design and develop scalable analytical datasets, data models, and structures
Work hands-on with large and complex datasets to identify trends, relationships, data quality issues, and actionable opportunities
Explore, develop, and scale AI-enabled analytical workflows
Critically evaluate and validate AI-generated outputs
Communicate technical concepts, assumptions, and recommendations to technical and non-technical audiences
Work across marketing, ticketing, revenue, digital, and customer analytics

Requirements

What you’ll need

3+ years of relevant experience in data science, advanced analytics, analytics engineering, data engineering, or a related technical field
Strong SQL skills and ability to independently explore, transform, validate, and analyze complex datasets
Experience with Python or another programming language commonly used for data science and analytics
Experience with predictive modeling, machine learning, forecasting, experimentation, optimization, analytical data modeling, and/or data architecture
Familiarity with modern cloud data platforms and analytical development workflows
Familiarity with BI and visualization platforms and how analytical solutions reach business users
Practical familiarity with generative AI and AI-assisted development or analytical tools, including understanding of their capabilities and limitations
Strong analytical curiosity and willingness to investigate unfamiliar datasets and business problems
Strong collaboration and communication skills, with an interest in building solutions that make others more effective

Benefits

Comp & perks

A collaborative work environment with an in-office presence of four days per week, with flexibility in how work is organized
Professional growth focused on high-quality projects
Personalized support tailored to professional ambitions
Group insurance
Retirement savings
Other benefits
A culture focused on equitable practices and rallying events