Top 37
Prep plan
Updated weekly · Last refresh Aug 30

C5i Data Scientist Interview Questions

The questions to prepare for a C5i Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

37questions
~5htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 2 drills · ~63 min
2
A/B Testing & Experimentation6 questions · ~51 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 MismatchC5i
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3
Machine Learning9 questions · ~77 min
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised LearningC5i
Feature Selection for Supervised ModelsMedium

Explain a practical feature selection process using validation, regularization, and model-based importance to improve generalization.

Cross-ValidationFeature EngineeringRegularizationC5i
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4
Metrics3 questions · ~26 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisC5i
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5
Behavioral & Leadership10 questions · ~85 min
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6
More topics4 questions · ~34 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesC5i
Classification vs Regression MetricsMedium

Evaluates your knowledge of appropriate evaluation metrics for different ML tasks.

ClassificationRegressionC5i
Assess Impact of a New FeatureMedium

Tests your product analytics thinking and decision-making based on data.

User NeedsUse CasesProduct VisionC5i
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The finish line: interview-readyComplete all 37 questions plus 2 hands-on drills to finish this plan.