Data Science Rotational Program
2 weeks ago
Unlock Your Potential in Data Science
Canadian Tire Corporation is committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire.
Program Overview
The Data Science Rotational Program is a 2-year program designed to provide students with a broad range of analytical expertise and work cross-functionally with internal and external teams. The program consists of two progressive 12-month rotations in Merchandising Decision Support, Experimentation, and Business Intelligence.
Key Responsibilities
- Provide subject matter expertise and create a broad range of data-driven solutions by applying a variety of techniques to build out complex models.
- Responsible for providing subject matter expertise, analytics, and insights to recommend actions that will enable optimal business decisions and/or resolve complex business problems.
- Provide data visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations.
- Responsible for the design/development of complex reports, dashboards, and scorecards to support business needs; ensure alignment of metrics across the organization.
- Participating in projects by analyzing approaches, processes, and tools to support the business data strategy.
Requirements
- Expected graduation of December 2024 or Spring/Summer 2025.
- Working toward an undergraduate degree in Computer Science, Mathematics, Engineering, Quantitative Analysis, Statistics, Data Analytics or a related field. Strong statistical/analytical skills are preferred.
- Well-versed in one or more of these listed areas: Big Data - Predictive Analytics, Optimization, Regression, Logit Modeling, Discrete choice, Simulation, Propensity Modeling; Machine Learning – Data/Text Mining, Programming, Algorithm Development, Automation Data Visualization, Natural Language Processing.
- Creative and courageous, with the ability to manage in an environment of change and ambiguity to help us take bold, strategic moves in this rapidly evolving retail environment.
- Action-oriented, and comfortable taking calculated risks to better serve our customers and business.
- Critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business.
- Collaborative team players with superior communication and influencing skills, who build relationships easily across various stakeholder groups.
What We Offer
We value flexibility and have adopted a hybrid work model out of Toronto, ON or Calgary, AB whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.
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