Lead advanced analytics projects as a Senior Data Scientist. Utilize machine learning, Python, and statistical modeling to optimize pricing and promotional strategies within the retail sector.
In this pivotal role, you will develop and implement cutting-edge quantitative models that enhance business insights in retail and loyalty programs. You will contribute to the Advanced Analytics and Modelling team, ensuring alignment of business needs with creative analytical concepts. Your expertise in Python and experience with large datasets will be critical in driving successful data science solutions.
Key Responsibilities:
• Design and document advanced statistical models • Deploy machine learning solutions to diverse data sets • Execute advanced analysis to identify business insights • Establish data pipelines for AI/ML applications • Contribute actively to the analytics community
Requirements: • Graduate degree in a quantitative field; PhD preferred • 3+ years experience in retail data science • Proficient in Python and statistics • Familiar with SQL and data query tools • Experience with cloud platforms like Databricks
Enhance retail analytics by applying your expertise in data science, machine learning, and statistical modeling to optimize promotional strategies and customer insights. #J-18808-Ljbffr
Apply on Kit Job: kitjob.ca/job/2g9e5s
📌 Senior Data Scientist in Retail Analytics (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto
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