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Prep plan
Updated weekly · Last refresh Oct 17

CGI Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 3 questions + 3 drills · ~54 min
2
Machine Learning7 questions · ~56 min
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningCGI
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3
Statistics & Probability5 questions · ~40 min
P-Value vs Confidence IntervalMedium

Tests ability to communicate statistical concepts clearly and accurately to non-technical stakeholders.

Confidence IntervalsCommunicationP-ValuesCGI
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4
Behavioral & Leadership8 questions · ~64 min
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5
More topics6 questions · ~48 min
Choose the Right Classification MetricMedium

Explain when to use precision, recall, F1, or ROC-AUC for a classification model.

PrecisionAUC-ROCRecallCGI
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueCGI
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingCGI
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisCGI
Optimizing Large Pandas PipelinesHard

Tests performance tuning, vectorization, and scalable data handling in Python for large datasets.

Data QualityToolsperformanceCGI
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