Top 29
Prep plan
Updated weekly · Last refresh Aug 30

Persistent Data Scientist Interview Questions

The questions to prepare for a Persistent Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

29questions
~4htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 2 drills · ~62 min
2
Metrics3 questions · ~25 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisPersistent
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsPersistent
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3
A/B Testing & Experimentation6 questions · ~50 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchPersistent
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4
Product Sense3 questions · ~25 min
Designing Engagement Product MetricsMedium

Assesses how you translate product goals into measurable, reliable metrics.

product metricsdesignuser engagementPersistent
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5
Machine Learning4 questions · ~34 min
Advanced ML and GenAI TopicsHard

Evaluates depth across ML, DL, and GenAI design choices relevant to production systems.

GenAIDeep LearningPersistent
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6
Behavioral & Leadership7 questions · ~59 min
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7
More topics1 question · ~8 min
Statistical Significance in A/B TestsMedium

Evaluates your understanding of hypothesis testing and decision-making in experiments.

Statistical SignificancePersistent
The finish line: interview-readyComplete all 29 questions plus 2 hands-on drills to finish this plan.