Me postulé en persona. Acudí a una entrevista en Canadian Tire (Toronto, ON) en jun 2026
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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
Me postulé en línea. Acudí a una entrevista en Canadian Tire
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
How have you dealt with stressful situations on the job in the past?