Lead Applied ML Scientist: Scale AI, Forecasting & Strategy

Canadian Tire; Toronto; On-site; CAD 79,000 - 131,000; Full time

Job summary

A leading Canadian retail company is seeking an Applied ML Lead Scientist to lead the development of high-impact machine learning models. The role involves collaborating with various departments to deploy AI solutions that drive business outcomes. Candidates should have over 5 years of experience in data science, deep knowledge of Python and SQL, and a track record of building scalable applications in a retail context. Competitive salary and benefits offered, including opportunities for professional development.

Benefits

Competitive salary

Store discounts

Supported learning programs

Retirement savings programs

Qualifications

• 5+ years experience in data science and machine learning, preferably in retail.
• Fluency in Python and SQL with a strong background in classical ML.
• Hands-on experience with MLOps and modern cloud stacks.

Responsibilities

• Lead development of forecasting and optimization models.
• Define applied AI direction for key initiatives.
• Guide the build of task-oriented agents and pipelines.

Skills

Data science

Machine Learning

Python

SQL

Predictive modelling

Tools

Databricks

MLflow

Feature stores

Job description

A leading Canadian retail company is seeking an Applied ML Lead Scientist to lead the development of high-impact machine learning models. The role involves collaborating with various departments to deploy AI solutions that drive business outcomes. Candidates should have over 5 years of experience in data science, deep knowledge of Python and SQL, and a track record of building scalable applications in a retail context. Competitive salary and benefits offered, including opportunities for professional development.