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Updated weekly · Last refresh Sep 19

Verizon Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~69 min
2
Machine Learning14 questions · ~119 min
Experience with ML TechniquesEasy

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

Cross-ValidationFeature EngineeringSupervised LearningVerizon
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3
Model Evaluation4 questions · ~34 min
Explain Core Classification MetricsEasy

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

F1 ScorePrecisionAUC-ROCVerizon
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4
Product Sense4 questions · ~34 min
Checkout Redesign ImpactMedium

Assesses your experimental and measurement strategy to balance short-term conversion and long-term retention.

Verizon
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5
Metrics4 questions · ~34 min
Predict Churn From Usage RecordsMedium

Tests churn modeling approach using telecom usage features and proper evaluation.

Leading IndicatorsChurnDiagnosisVerizon
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6
A/B Testing & Experimentation5 questions · ~42 min
Sample Size for High VarianceMedium

Tests your statistical planning skills for reliable A/B tests under high variance.

Sample SizeA/B TestingVerizon
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7
More topics12 questions · ~102 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityVerizon
Choose Non-Parametric vs T-TestMedium

Assesses your ability to select appropriate statistical tests based on data assumptions.

Verizon
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.