Top 35
Prep plan
Updated weekly · Last refresh Oct 17

Navi Data Scientist Interview Questions

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

35questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
2
System Design3 questions · ~25 min
Design Real-Time Fraud Risk ScoringHard

Design a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.

Feature StoreFeature DriftModel ServingNavi
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3
Machine Learning10 questions · ~82 min
L1 vs L2 RegularizationMedium

Explain how L1 and L2 regularization differ geometrically and probabilistically, grounded in a practical supervised learning example.

Feature EngineeringRegularizationSupervised LearningNavi
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4
Behavioral & Leadership8 questions · ~66 min
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5
More topics11 questions · ~91 min
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingNavi
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisNavi
SQL Window Functions for FunnelsMedium

Tests your ability to use SQL window functions for time-ordered behavioral analysis.

Window FunctionsFunnel AnalysisRunning TotalsNavi
Imbalanced Metrics and DriftHard

Evaluates metric choice for imbalance and practical monitoring for drift in production.

Navi
TF-IDF Search Engine in PythonMedium

Tests your ability to implement core NLP retrieval using TF-IDF and Python.

TF-IDFNavi
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.