The Globe & Mail Data Scientist Interview Questions
The questions to prepare for a The Globe & Mail Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how statistical significance differs from practical significance and how both affect an A/B test decision.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
Explain how SQL is used to validate database quality through row counts, null checks, duplicates, and aggregate comparisons.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Combine campaign spend with completed transaction totals while preserving campaigns that have no matching transactions.
SeatgeekCombine Acxiom customer tables into one profile per customer using the most recent available attributes.
AcxiomFind customers with multiple valid orders while safely handling NULL customer names, customer IDs, and order amounts.
NeenOpalDiagnose a sudden monthly active user decline by validating the metric, isolating affected segments, and identifying likely product or data causes.
Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.
Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.
Diagnose a sudden 20% KPI decline by validating measurement, decomposing drivers, and separating real behavior changes from data issues.
Sign up to see every question
Create a free account to unlock this list and practice real interview questions.