Very thorough interview process. Good experience overall. A series of questions with the VP of Analytics.
The interview started out with a series of general quesitons about management style. It then moved on to personality-type questions.
Interview questions [1]
Question 1
How have you dealt with stressful situations on the job in the past?
I applied in-person. I interviewed at Canadian Tire (Toronto, ON) in June 2026
Interview
First, they ask whether you are comfortable working in the office five days a week, as the position requires regular on-site attendance. After that, candidates complete a 50-minute written assessment focused on Machine Learning, Mathematics, and Statistics. The assessment evaluates your understanding of core concepts, problem-solving abilities, and analytical thinking rather than coding skills. It may include questions on probability, hypothesis testing, regression, model evaluation, machine learning algorithms, and other data science fundamentals.
Interview questions [1]
Question 1
Statistics
Probability and conditional probability
Hypothesis testing
p-values and confidence intervals
Bias and variance
Sampling methods
A/B testing
Regression interpretation
Machine Learning
Supervised vs. unsupervised learning
Linear and logistic regression
Decision trees and random forests
Gradient boosting (e.g., XGBoost)
Cross-validation
Overfitting and regularization
Evaluation metrics:
Accuracy
Precision
Recall
F1-score
ROC-AUC
Math
Basic calculus concepts (derivatives and optimization)
Matrix algebra
Linear algebra fundamentals
Expected value and variance
Bayes' theorem
Optimization concepts used in machine learning