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Verizon Data Scientist Interview Questions

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

Experience with ML Techniques
Easy

Describe your hands-on experience applying supervised learning, feature engineering, and model evaluation in real projects.

Cross-ValidationFeature EngineeringSupervised Learning
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Explain Core Classification Metrics
Easy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROC
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Improve Loyalty and Reduce Churn With Data
Medium

Tests ability to connect analytics to retention actions and measurable business outcomes.

KPIsRetentionChurn
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SQL for Cell Tower Usage
Medium

Tests SQL skills for aggregations and time-window filtering on telecom tower usage data.

Date FunctionsRankingAggregations
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Imbalanced Data With 1% Positives
Medium

Tests approaches for learning from rare positive events in Verizon datasets.

ExperimentationExpected ValueConditional Probability
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Apply NLP for Customer Support Automation
Medium

Tests NLP solution design for customer support use cases and expected outcomes.

Language ModelsText ClassificationTokenization
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