Top 50
Prep plan
Updated weekly · Last refresh Aug 30

Klaviyo Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 2 drills · ~78 min
2
Metrics4 questions · ~33 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsKlaviyo
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3
A/B Testing & Experimentation3 questions · ~25 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingKlaviyo
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4
Pipelines3 questions · ~25 min
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityKlaviyo
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5
Machine Learning8 questions · ~66 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationKlaviyo
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6
Model Evaluation3 questions · ~25 min
Improve Model AccuracyMedium

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

Hyperparameter TuningCross-ValidationAccuracyKlaviyo
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7
More topics22 questions · ~181 min
Statistical Significance TestingMedium

Tests hypothesis testing, confidence intervals, and correct interpretation of metric changes.

Confidence IntervalsStatistical SignificanceP-ValuesKlaviyo
Production ML ConsiderationsHard

Tests production readiness across monitoring, reliability, and operational constraints.

Feature StoreFeature DriftModel ServingKlaviyo
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.