Harvey Data Scientist Interview Questions

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

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A/B Testing & ExperimentationStart here. 4 questions · ~41 min

Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio Mismatch

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Validating Skeptical Experiment ResultsHard

Validate a positive experiment result by checking design integrity, statistical evidence, robustness, and practical significance before recommending lau...

experiment designPeekingStakeholder Management

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SQL & Data Manipulation3 questions · ~31 min

Cohort First and Last InteractionsMedium

Practice

Use window functions to find each cohort user's first and last interaction dates.

Date FunctionsData ManipulationAggregations

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Rolling 30-Day Retention QueryHard

Practice

Calculate rolling 30-day retention for top-tier legal firms using date-range joins and aggregation.

Date FunctionsJoinssql query

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Product Sense3 questions · ~31 min

Measuring AI Feature SuccessHard

Define a metric framework to evaluate whether an AI-driven legal research feature delivers accurate, efficient, and trusted user value.

product metricsMetricsfeature evaluation

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Behavioral & Leadership4 questions · ~41 min

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More topics4 questions · ~41 min

Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical Significance

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Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQuality

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Diagnosing a 10% Metric DropHard

Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.

root cause analysisDiagnosisdiagnostic process

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