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Updated weekly · Last refresh Aug 30

Kiavi Data Scientist Interview Questions

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

27questions
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1
Machine LearningStart here. 5 questions · ~40 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 LearningKiavi
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2
Product Sense3 questions · ~24 min
Identify Underserved Lending AreasHard

Tests your ability to turn data into market insights that guide lending expansion.

market analysisFeature PrioritizationUser NeedsKiavi
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3
Behavioral & Leadership9 questions · ~72 min
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4
More topics10 questions · ~80 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 MismatchKiavi
Causal Explanations Beyond CorrelationHard

Tests your ability to reason about causality and choose appropriate methods beyond correlation.

BiasCorrelationCausal InferenceKiavi
Cohort Loan Performance SQLMedium

Tests SQL window function skills for cohort-based performance analysis.

Window FunctionsCohort AnalysisRunning TotalsKiavi
Diagnose Week-over-Week Volume DropMedium

Tests your debugging mindset using metrics, segmentation, and causal hypotheses.

Funnel AnalysisLeading IndicatorsDiagnosisKiavi
Data Quality with Third-Party APIsMedium

Tests data validation, reconciliation, and reliability practices for production pipelines.

APIsdata integrityQualityKiavi
False Positive Sensitive EvaluationMedium

Tests metric selection, thresholding, and cost-aware evaluation.

PrecisionThreshold TuningRecallKiavi
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Find Fulfillment Bottlenecks from TimestampsHard
Practice
Practice drill

Use LAG and window functions to identify the slowest stage in the fulfillment chain.

Window FunctionsData WranglingRunning TotalsInstacart
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
Cohort Rolling Conversion RateHard
Practice
Practice drill

Calculate GoDaddy cohort conversion rates over rolling 7-day windows using joins, aggregation, and window functions.

Window FunctionsCohort AnalysisRunning TotalsGoDaddy
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.