Top 35
Prep plan
Updated weekly · Last refresh Sep 9

i2c Data Scientist Interview Questions

The questions to prepare for a i2c Data Scientist interview. Questions from real interview reports rank first. Updated daily.

35questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
2
Machine Learning9 questions · ~73 min
Handling Overfitting in Predictive ModelsMedium

Explain how to diagnose and reduce overfitting using regularization, validation strategy, and model complexity controls.

Cross-ValidationBias-Variance TradeoffRegularizationi2c
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3
Statistics & Probability4 questions · ~32 min
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis Testingi2c
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4
Behavioral & Leadership9 questions · ~73 min
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5
More topics9 questions · ~73 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio Mismatchi2c
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 IndicatorsDiagnosisi2c
Python Constructor Return ValuesEasy

Evaluates your Python fundamentals and correctness under language semantics.

interview processi2c
Fraud Metrics With Costly False NegativesMedium

Tests cost-sensitive metric selection and threshold-aware evaluation.

ClassificationPrecisionRecalli2c
Database Indexes and PerformanceMedium

Tests knowledge of indexing tradeoffs and performance implications for transactional workloads.

performancedatabaseindexesi2c
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The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.