Top 50
Prep plan
Updated weekly · Last refresh Aug 30

Dataiku Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 8 questions + 1 drill · ~78 min
2
A/B Testing & Experimentation6 questions · ~51 min
Power Analysis for Survey ExperimentHard

Determine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.

MDEPower AnalysisSample SizeDataiku
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3
Metrics3 questions · ~25 min
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 IndicatorsDiagnosisDataiku
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4
Product Sense6 questions · ~51 min
Turn Feedback Into New FeaturesMedium

Approach for turning user feedback into a well-scoped feature, with clear prioritization, MVP definition, and success metrics.

User ResearchFeature PrioritizationUser NeedsDataiku
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5
Machine Learning12 questions · ~102 min
Explaining Decision Trees to a ChildMedium

Assesses your ability to explain ML concepts with clear intuition and analogies.

explanationDecision TreesDataiku
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6
Statistics & Probability4 questions · ~34 min
Validating Parametric Test AssumptionsMedium

Evaluates your statistical rigor in checking assumptions before interpreting test results.

assumptionsvalidationDataiku
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7
More topics11 questions · ~93 min
Cleaning Missing Values in PipelinesEasy

Approach for handling missing values in a pipeline with data quality checks and repeatable transformations.

Data WranglingETLQualityDataiku
Explain Model Choice and How to ImproveMedium

Evaluates model selection reasoning and critical thinking about improvements.

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