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Updated weekly · Last refresh Aug 30

Navi Data Scientist Interview Questions

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

37questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
Choosing Randomization Unit for UI TestMedium

Choose the right randomization unit for a customer-facing experiment and explain how that choice affects metrics, power, and validity.

ExperimentationGuardrail MetricsA/B TestingNavi
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2
Machine Learning10 questions · ~82 min
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningNavi
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3
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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4
Statistics & Probability3 questions · ~25 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
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5
Behavioral & Leadership9 questions · ~74 min
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6
More topics9 questions · ~74 min
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
TF-IDF Search Engine in PythonMedium

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

TF-IDFNavi
Cost-Sensitive Binary ClassificationMedium

Tests your ability to choose metrics and thresholds under asymmetric misclassification costs.

PrecisionThreshold TuningRecallNavi
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
7-Day Rider Retention in NYCHard
Practice
Practice drill

Compute 7-day NYC rider retention by signup cohort using joins, CTEs, date filters, and distinct retained-user aggregation.

Window FunctionsRetentionRunning TotalsUberAsana
Cohort Rolling Conversion RateHard
Practice
Practice drill

Calculate GoDaddy cohort conversion rates over rolling 7-day windows using joins, aggregation, and window functions.

Window FunctionsCohort AnalysisRunning TotalsGoDaddy
The finish line: interview-readyComplete all 37 questions plus 3 hands-on drills to finish this plan.