The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment, pricing strategy, and promotion optimization). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities.

What you’ll do

Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts

Work with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processes

Plan, track, and manage multiple projects and requests

Proactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisions

Provide leadership and direction to the team, including training and coaching in advanced analytics

Act as a subject matter expert for established model implementations and methodologies

What you bring





4+ years work experience in data science, modelling, and analytics (merchandising or supply chain preferred)

University degree (graduate preferred) in engineering, math, computer science, statistics, business or related field

Proficiency with programming in Python, PySpark, SQL

Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of projects

Strong analytical, problem solving, and data mining skills

Experience with Cloud computing environments for data science; knowledge of Azure and Databricks would be an asset

Results-oriented, with proven project and time management skills

Business mindset with an understanding of the retail industry

Demonstrated ability to lead, influence, and motivate peers

Effective written and verbal communication skills, including presentation abilities

Compensation
Salary range: $64,000 to $105,000 per year. Comprehensive benefits, retirement programs, performance incentives, continuing education, mental health benefits of $5,000/year, product discounts, and growth opportunities opportunities.

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📌 Senior Data Scientist, Predictive Modelling (Ontario)
🏢 Canadian Tire
📍 Ontario