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Updated weekly · Last refresh Aug 30

Insight Global Data Scientist Interview Questions

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

50questions
~8htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~73 min
2
Machine Learning7 questions · ~63 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 LearningInsight Global
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3
Statistics & Probability7 questions · ~63 min
Correlation vs Causation in NotificationsEasy

Measure the naive correlation between notification opt-in and watch time, then adjust for confounding with stratification and a hypothesis test.

CorrelationHypothesis TestingCausal InferenceInsight Global
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4
Model Evaluation7 questions · ~63 min
Choose a Classification ThresholdMedium

Choose a decision threshold for a classifier using precision, recall, calibration, and confusion matrix tradeoffs.

Confusion MatrixPrecisionThreshold TuningInsight Global
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5
A/B Testing & Experimentation6 questions · ~54 min
Activation vs Retention Tradeoff TestMedium

Design an onboarding A/B test where activation may improve but Day-28 retention could worsen, with explicit power, guardrails, and ship rules.

ExperimentationCausal InferenceGuardrail MetricsInsight Global
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6
Metrics7 questions · ~63 min
Separate Retention From Short Term EngagementHard

Assess whether a feature drives durable retention gains or only a temporary spike in usage.

RetentionEngagement MetricsInsight Global
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7
More topics9 questions · ~81 min
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionInsight Global
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.