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Updated weekly · Last refresh Aug 30

Persistent Systems Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Model EvaluationStart here. 7 questions · ~59 min
2
Machine Learning7 questions · ~59 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningPersistent Systems
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3
Metrics6 questions · ~51 min
Evaluate A/B Test Results for New FeatureMedium

Assess the impact of a new feature on conversion rates through A/B testing analysis and statistical significance evaluation.

ExperimentationA/B TestingPersistent Systems
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4
Statistics & Probability7 questions · ~59 min
A/B Test vs Observational LiftEasy

Compare a randomized A/B test with observational analysis and test whether the checkout conversion lift is statistically significant.

ExperimentationCausal InferenceA/B TestingPersistent Systems
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5
Pipelines7 questions · ~59 min
Automate Databricks Pipeline DeploymentsMedium

Design an automated Databricks CI/CD and operations model for 120 pipelines with safe promotion, SLA monitoring, rollback, and data quality gates.

ToolsOrchestrationQualityPersistent Systems
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6
NLP7 questions · ~59 min
Classify Documents by TypeEasy

Build an NLP pipeline to classify incoming documents into document types using modern transformer fine-tuning.

Text ClassificationNamed Entity RecognitionTokenizationPersistent Systems
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7
More topics9 questions · ~76 min
Resolve Conflicting Metric Test ResultsHard

Design an experiment where a workflow change lifts containment but may hurt CSAT, and define a ship rule that respects guardrails.

ExperimentationGuardrail MetricsA/B TestingPersistent Systems
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionPersistent Systems
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