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Publicis Groupe Holdings B.V Data Scientist Interview Questions

The questions to prepare for a Publicis Groupe Holdings B.V Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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1
Machine LearningStart here. 6 questions · ~49 min
Bagging vs Boosting ExplainedMedium

Explain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.

Ensemble Methodsmodel trainingSupervised LearningPublicis Groupe Holdings B.V
Bias-Variance Tradeoff in Model ChoiceEasy

Explain how the bias-variance tradeoff guides algorithm selection and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationPublicis Groupe Holdings B.V
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2
Behavioral & Leadership9 questions · ~73 min
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3
More topics10 questions · ~82 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificancePublicis Groupe Holdings B.V
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 MismatchPublicis Groupe Holdings B.V
First Checks for Metric DropsEasy

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

Lagging IndicatorsLeading IndicatorsDiagnosisPublicis Groupe Holdings B.V
SQL Window Functions for AnalysisMedium

Tests practical SQL skills for advanced analytics using window functions.

Window FunctionsData AnalysissqlPublicis Groupe Holdings B.V
Measuring Campaign Success with DataMedium

Tests ability to define KPIs, attribution approach, and data-driven evaluation for campaigns.

marketingMetricsData AnalysisPublicis Groupe Holdings B.V
Hands-On Dataset WorkflowMedium

Assesses your end-to-end approach to exploring, cleaning, and preparing data for modeling.

data handlingPublicis Groupe Holdings B.V
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
Rolling 7-Day Incident AverageMedium
Practice
Practice drill

Calculate a calendar-aware 7-day average of Samsara incident counts using CTEs and window functions.

Window FunctionsData AnalysissqlSamsara
Rolling 7-Day Average in SQLMedium
Practice
Practice drill

Calculate calendar-aware 7-day sensor anomaly averages per Mercedes-Benz vehicle using daily aggregation and window functions.

Window FunctionsData AnalysissqlMercedes-Benz Group
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