Nextdoor Data Scientist Interview Questions
The questions to prepare for a Nextdoor Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
NextdoorUse CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
Curefit
ReachMobi
IndeedCalculate each customer's cumulative transaction amount over time using a CTE and window function.
Banco Santander
Anz
Bank Of Tokyo-Mitsubishi UFJIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
NextdoorExplain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
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Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.
NextdoorExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
NextdoorFramework for deciding between a growth feature that lifts conversion and a risk feature that reduces fraud losses.
NextdoorTests power analysis skills for detecting small effects in safety and moderation experiments.
NextdoorTests metric selection for imbalanced safety problems and your understanding of operational tradeoffs.
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