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UiPath Data Scientist Interview Questions

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

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Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio Mismatch
UiPath
Design Test for New Feature
Medium

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

experiment designfeature evaluationA/B Testing
UiPath
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Understanding Common Table Expressions (CTEs)Medium

Explain what CTEs are and their advantages in SQL queries.

CTEs
UiPath
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First Checks for Metric Drops
Easy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosis
UiPath
Investigate User Engagement Decline
Medium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement Metrics
UiPath
Define Metrics for New Features
Medium

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

MetricsFeature Prioritizationuser value
UiPath
Evaluate AI Feature User Value
Medium

Framework for judging whether an AI feature creates real user value, not just technically correct output.

User NeedsUse CasesProduct Vision
UiPath
Statistical Significance in Hypothesis Testing
Easy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical Significance
UiPath