University of Toronto Data Scientist Interview Questions
The questions to prepare for a University of Toronto Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests your ability to choose and define experiment metrics aligned to product outcomes.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Tests your ability to define actionable success metrics for a student-facing data product.
Assesses whether you can translate product goals into measurable health application metrics.
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Tests your ability to improve query performance using profiling and SQL optimization techniques.
Evaluates your ability to prevent join errors and maintain integrity across heterogeneous sources.
Use ROW_NUMBER to return each student's second score on a specified Khan Academy exercise.
Khan AcademyCalculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
HingeCCatalyst Operations & AnalyticsAAlight SolutionsAssesses your grasp of hypothesis testing, error rates, and experiment design assumptions.
Evaluates your debugging process for KPI declines across data, users, and system changes.