Top 42
Prep plan
Updated weekly · Last refresh Oct 17

Navan Data Scientist Interview Questions

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

42questions
~6htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 1 drill · ~45 min
2
Statistics & Probability4 questions · ~35 min
Correlation Versus CausationEasy

Explain why correlation does not imply causation in a growth setting.

RegressionCorrelationHypothesis TestingNavan
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3
A/B Testing & Experimentation5 questions · ~44 min
Use CUPED to Improve Experiment PowerHard

Assess how CUPED changes variance and sample size in an online experiment, and decide whether the uplift is detectable.

ExperimentationCUPEDPower AnalysisNavan
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4
System Design3 questions · ~26 min
Design a Travel Recommendation PipelineHard

Design an end-to-end travel recommendation system with retrieval, ranking, feature pipelines, and online feedback loops.

Feature StoreRetrievalRecommendation SystemsNavan
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5
Machine Learning6 questions · ~53 min
Experience with Predictive ModelingMedium

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

Cross-ValidationFeature EngineeringSupervised LearningNavan
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6
Product Sense3 questions · ~26 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionNavan
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7
More topics17 questions · ~149 min
Evaluate Precision and Recall TradeoffsMedium

Assess precision and recall for a model and explain how the threshold changes the tradeoff.

F1 ScorePrecisionRecallNavan
Choosing Batch vs Real TimeHard

Evaluate when a pipeline should use stream processing versus scheduled batch based on latency, cost, complexity, and data quality needs.

Stream ProcessingBatch ProcessingDependenciesNavan
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The finish line: interview-readyComplete all 42 questions plus 1 hands-on drill to finish this plan.