Elevate retail strategies as a Senior Data Scientist focused on machine learning. Employ advanced statistical techniques and analytics to optimize pricing, promotions, and customer loyalty programs.

In this essential role, you'll work within the Advanced Analytics and Modelling team to deliver quantifiable business solutions through robust data science methodologies. You will document your findings and offer advice that seamlessly blends business needs with analytical insights. Your hands-on experience with Python and big data analysis will be key in achieving strategy goals.

Key Responsibilities:



• Implement quantitative modeling on retail data • Analyze and interpret large datasets effectively • Create and deploy machine learning algorithms • Ensure data integrity for analytics initiatives • Participate in team-oriented data science projects

Requirements: • Graduate degree in Statistics, Math, or related field; PhD is a plus • 3+ years in data science, preferably in retail • Proficient in Python and machine learning techniques • Experience with SQL and data querying • Familiarity with data platforms such as Azure Synapse

Shape the future of retail analytics by leveraging your machine learning expertise to create impactful pricing and loyalty solutions. #J-18808-Ljbffr

📌 Senior Machine Learning Data Scientist Winnipeg
🏢 Canadian Tire Corporation
📍 Winnipeg