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Prep plan
Updated weekly · Last refresh Oct 17

Notion Labs Data Scientist Interview Questions

The questions to prepare for a Notion Labs Data Scientist interview. Questions from real interview reports rank first. Updated daily.

41questions
~6htotal time
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1
A/B Testing & ExperimentationStart here. 6 questions · ~52 min
2
SQL & Data Manipulation6 questions + 1 drill · ~62 min
3
Metrics5 questions · ~43 min
Evaluate Onboarding Step Funnel ImpactMedium

Assess whether a new onboarding step improves activation quality or adds enough friction to reduce overall funnel performance.

Funnel AnalysisConversion RateLeading IndicatorsNotion Labs
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4
Machine Learning4 questions · ~35 min
Experience with Predictive ModelingMedium

Explain your experience building predictive models, from feature work and validation to tuning and deployment.

Cross-ValidationFeature EngineeringSupervised LearningNotion Labs
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5
Product Sense3 questions · ~26 min
What Makes a Good PMMedium

Evaluates your understanding of product leadership and cross-functional collaboration.

Notion Labs
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6
Behavioral & Leadership12 questions · ~104 min
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7
More topics5 questions · ~43 min
Diagnosing a Product Metric DropMedium

Decide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.

Confidence IntervalsHypothesis TestingStatistical SignificanceNotion Labs
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingNotion Labs
Building a Simple Recommendation SystemHard

Tests your ability to design an end-to-end recommendation approach for a real product.

ML RankingRetrievalRecommendation SystemsNotion Labs
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The finish line: interview-readyComplete all 41 questions plus 1 hands-on drill to finish this plan.