Data Scientist | Data Scientist

Cirque du Soleil Entertainment Group•Montreal, QC

1d•Hybrid

About The Position

Cirque du Soleil is looking for a Data Scientist to join our Business Analytics team and help build and scale the next generation of analytical capabilities across the organization. This is a hands-on role for someone who enjoys solving complex business problems, digging deeply into data, and building solutions that scale. You will work across commercial areas including marketing, ticketing, revenue, digital, and customer analytics; developing models, data products, and analytical solutions that enable better and faster decision-making. You will also play an important role in expanding how we use AI within analytics, helping identify where AI can accelerate our capabilities while ensuring solutions are thoughtfully designed, validated, and scalable.

Requirements

3+ years of relevant experience in data science, advanced analytics, analytics engineering, data engineering, or a related technical field.
Strong SQL skills and the 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 ultimately reach business users.
Practical familiarity with generative AI and AI-assisted development or analytical tools, including an understanding of their capabilities and limitations.
Strong analytical curiosity and a willingness to dig into unfamiliar datasets and business problems.
Strong collaboration and communication skills, with an interest in building solutions that make others more effective.

Responsibilities

Partner with analysts and business stakeholders to translate complex business questions into analytical solutions, models, and data products.
Develop predictive and statistical models to better understand demand, customer behavior, marketing effectiveness, revenue opportunities, and other business outcomes.
Design and develop scalable analytical datasets, data models, and structures that make data easier and faster to use.
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, including critically evaluating and validating AI-generated outputs.
Clearly communicate technical concepts, assumptions, and recommendations to both technical and non-technical audiences.