Top 36
Prep plan
Updated weekly · Last refresh Aug 30

GIC Data Scientist Interview Questions

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

36questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
2
Product Sense4 questions · ~32 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentGIC
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3
Machine Learning5 questions · ~40 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffGIC
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4
Behavioral & Leadership16 questions · ~128 min
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5
More topics8 questions · ~64 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 IndicatorsDiagnosisGIC
Improve Model AccuracyMedium

Approach for improving a model's accuracy by checking errors, features, and tuning choices.

Hyperparameter TuningCross-ValidationAccuracyGIC
SQL Window FunctionsMedium

Tests SQL window function fluency for grouped analytics.

Window FunctionsRankingRunning TotalsGIC
Optimize Runtime EfficiencyMedium

Tests performance engineering skills for data pipelines and modeling workflows.

InfrastructureData ModelingQualityGIC
Significance of Observed ChangesEasy

Tests hypothesis testing and correct interpretation of statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesGIC
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.