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Updated weekly · Last refresh Sep 21

CNN Data Scientist Interview Questions

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

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1
Machine LearningStart here. 6 questions · ~55 min
2
Behavioral & Leadership6 questions · ~55 min
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3
More topics10 questions · ~91 min
7-Day Rolling Average ExportsMedium
Practice

Calculate a 7-day rolling average of Adobe Acrobat document exports using a window function.

Data AnalysisAggregationsCNN
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsCNN
Statistical Significance for CTRMedium

Tests statistical testing choices and interpretation for metrics like CTR.

Hypothesis TestingStatistical SignificanceP-ValuesCNN
Designing CNN A/B ExperimentHard

Tests experimental design rigor, instrumentation, and validity for CNN product changes.

MDEGuardrail MetricsA/B TestingCNN
Improve CNN Content RecommendationsHard

Tests system thinking for recommendation accuracy, including data, modeling, evaluation, and iteration.

ML RankingFeature StoreRecommendation SystemsCNN
Sorting Algorithm ComplexityEasy

Tests understanding of algorithmic complexity tradeoffs for common sorting methods.

CommunicationOwnershipDealing With AmbiguityCNN
Evaluate Model PerformanceEasy

Tests your understanding of metrics, validation strategy, and tradeoffs for model quality.

PrecisionAccuracyRecallCNN
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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
The finish line: interview-readyComplete all 22 questions plus 1 hands-on drill to finish this plan.