Top 50
Prep plan
Updated weekly · Last refresh Oct 17

Klaviyo Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~69 min
2
A/B Testing & Experimentation7 questions · ~59 min
When to Prefer Quasi-ExperimentsHard

Decide when randomization is infeasible or invalid and when a quasi-experiment is the better causal design.

ExperimentationCausal InferenceA/B TestingKlaviyo
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3
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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4
Machine Learning6 questions · ~51 min
Handle Imbalanced Classification DataMedium

Build a classifier for a highly imbalanced dataset and choose metrics, sampling, and thresholds that fit the minority class.

Cross-ValidationFeature EngineeringSupervised LearningKlaviyo
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5
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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6
Metrics5 questions · ~42 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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7
More topics19 questions · ~161 min
Rolling Dice ProbabilityEasy

Tests probability fundamentals and ability to compute outcomes for repeated trials.

probabilityKlaviyo
Design and Measure a Recommendation FeatureMedium

Tests how the candidate defines success metrics and evaluation plans for a new feature in Klaviyo's product.

product metricsfeature evaluationuser engagementKlaviyo
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.