Elevate your career as a Senior Data Scientist with Canadian Tire Corporation. This role focuses on machine learning model development for pricing and loyalty optimization in a hybrid work workplace. Join the Advanced Analytics and Modelling team at CTC, where a solid statistical and optimization background is essential for success.

Leverage your 3+ years of experience in retail-focused data science to build analytical solutions that drive customer engagement and improve marketing strategies. You will play a vital role in executing CTC's True North strategy through valuable insights and business recommendations. Key Responsibilities:
Develop and document quantitative models using retail data
Implement machine learning algorithms for evolving datasets




Analyze customer trends to guide critical business decisions
Provide insights into marketing and loyalty program effectiveness
Collaborate within the Advanced Analytics team for best practices Requirements:
Graduate degree in a quantitative field preferred
Minimum 3 years in data science for retail
Proficiency in Python and SQL for large datasets
Familiar with optimization methods and cloud data tools
Solid communication skills for technical presentations Be part of a team that innovates on data-driven decisions to enhance the Canadian retail landscape.

📌 Data Scientist Data Science F/h Toronto
🏢 Socket.dev
📍 Toronto