International Motors Canada Data Scientist Interview Questions
The questions to prepare for a International Motors Canada Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests conflict resolution, evidence-based influence, ownership, and the ability to commit after a technical decision.
Tests adaptability, judgment, prioritization, and ownership when new evidence changes a project’s direction.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Select and interpret features in high-dimensional system data without being misled by noise, redundancy, or correlated variables.
Define a success metric for a new feature that captures real user value, not just raw usage.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.
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