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Publicis Production Data Scientist Interview Questions

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

50questions
~7htotal time
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1
A/B Testing & ExperimentationStart here. 5 questions · ~40 min
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 Production
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2
Machine Learning11 questions · ~89 min
Missing Values and Outlier HandlingEasy

Explain a practical preprocessing strategy for missing values and outliers before training a supervised learning model.

data preprocessingoutliersFeature EngineeringPublicis Production
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3
SQL & Data Manipulation10 questions + 3 drills · ~111 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityPublicis Production
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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4
Behavioral & Leadership16 questions · ~129 min
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5
More topics8 questions · ~65 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisPublicis Production
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificancePublicis Production
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallPublicis Production
First Steps to Understand Business RequirementsMedium

Assesses how you translate business goals into data science problem framing.

business requirementsproject initiationPublicis Production
Agile Methodologies for Data ScienceMedium

Evaluates how you operate in iterative delivery cycles with clear ownership and feedback loops.

ScrumProject ManagementPublicis Production
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.