Full-Time

Data Scientist

Canadian Tire

Canadian Tire

No salary listed

Toronto, ON, Canada

In Person

Category
Data & Analytics (1)
Required Skills
Scikit-learn
Python
Airflow
Data Science
Xgboost
SQL
Machine Learning
Requirements
  • 2+ years of experience in data science or applied machine learning.
  • Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM).
  • Solid SQL skills and comfort working with large datasets.
  • Understanding of core ML concepts: regression, classification, validation, feature engineering.
  • Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills.
  • Ability to communicate analytical findings clearly and concisely.
Responsibilities
  • Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.
  • Explore, clean, and analyze large datasets to uncover insights and trends.
  • Build prototypes, run experiments, and contribute to model evaluation and validation.
  • Work with engineering teams to integrate models into production pipelines.
  • Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms).
  • Build dashboards and reports that communicate findings to business partners.
  • Participate in code reviews and follow team best practices.
Desired Qualifications
  • Exposure to recommendation systems or marketing analytics is an asset.
  • Experience with A/B testing or experiment analysis is an asset.
  • Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset.
  • Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset.

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