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Updated weekly · Last refresh Aug 30

Hexaware Technologies Data Scientist Interview Questions

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

50questions
~7htotal time
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1
NLPStart here. 7 questions · ~59 min
Extract Insights from Customer FeedbackMedium

Turn customer feedback into themes, sentiment trends, and prioritized issues using text preprocessing, classification, and topic discovery.

Text ClassificationSentiment AnalysisTokenizationHexaware Technologies
Analyze Customer Feedback for InsightsMedium

Build a customer feedback NLP pipeline using sentiment analysis, topic modeling, and classification to surface actionable product insights.

Text ClassificationSentiment AnalysisTokenizationHexaware Technologies
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2
Pipelines8 questions · ~68 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHexaware Technologies
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3
Model Evaluation8 questions · ~68 min
Improve Model AccuracyMedium

Approach for improving a model's accuracy by checking errors, features, and tuning choices.

Hyperparameter TuningCross-ValidationAccuracyHexaware Technologies
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4
Statistics & Probability7 questions · ~59 min
Multiple Metrics in ExperimentsHard

Reason about primary metrics, guardrails, and false positive control when an experiment reads out on many metrics.

Confidence IntervalsHypothesis TestingStatistical SignificanceHexaware Technologies
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5
Machine Learning8 questions · ~68 min
Handling Overfitting in Predictive ModelsMedium

Explain how to diagnose and reduce overfitting using regularization, validation strategy, and model complexity controls.

Cross-ValidationBias-Variance TradeoffRegularizationHexaware Technologies
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6
Product Sense5 questions · ~42 min
Identify Top User Pain PointsMedium

Identify the most important user pain points using both qualitative and quantitative data.

User ResearchUser NeedsPain PointsHexaware Technologies
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7
More topics7 questions · ~59 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 IndicatorsDiagnosisHexaware Technologies
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