Top 35
Prep plan
Updated weekly · Last refresh Oct 17
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Kotak Data Scientist Interview Questions

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

35questions
~5htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~55 min
2
A/B Testing & Experimentation5 questions · ~45 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingKKotak
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3
Machine Learning6 questions · ~53 min
Assessing Overfitting vs UnderfittingMedium

Use training, validation, and cross-validation behavior to distinguish underfitting from overfitting in supervised models.

Cross-ValidationBias-Variance TradeoffRegularizationKKotak
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4
Statistics & Probability4 questions · ~36 min
Accuracy and Reliability in AnalysisEasy

Explain how to validate data quality and statistical reliability before trusting analysis results.

Confidence IntervalsHypothesis TestingStatistical SignificanceKKotak
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5
Product Sense3 questions · ~27 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueKKotak
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6
Model Evaluation4 questions · ~36 min
Model Performance EvaluationMedium

Tests ability to choose appropriate metrics and statistical evaluation methods.

performance evaluationModel MetricsKKotak
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7
More topics8 questions · ~71 min
Diagnose a Performance DropHard

Investigate whether a performance decline is seasonal or a real product issue.

Leading IndicatorsDiagnosisTime SeriesKKotak
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The finish line: interview-readyComplete all 35 questions plus 1 hands-on drill to finish this plan.