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Updated weekly · Last refresh Nov 7

Superhuman Data Scientist Interview Questions

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

50questions
~8htotal time
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1
SQL & Data ManipulationStart here. 8 questions · ~75 min
Top 10% Users QueryMedium
Practice

Given a table of user interactions, write a query to identify the top 10% of users based on their active search queries over the last 30 days. Count only ...

Window FunctionsDate FunctionsRankingSuperhuman
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2
A/B Testing & Experimentation9 questions · ~84 min
Mitigating Experimentation PitfallsHard

Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.

experiment designNetwork InterferenceNetwork EffectsSuperhuman
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3
Product Sense5 questions · ~47 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionSuperhuman
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4
Statistics & Probability6 questions · ~56 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesSuperhuman
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5
Metrics5 questions · ~47 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisSuperhuman
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6
Machine Learning3 questions · ~28 min
Optimize Search Time ComplexityMedium

Tests ability to improve algorithmic efficiency and communicate trade-offs in implementation.

time complexityAlgorithmsSuperhuman
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7
More topics14 questions · ~131 min
Interpret Graphs and Experiment ResultsMedium

Assesses statistical and analytical reasoning for interpreting visualizations and experiment outputs.

Superhuman
OOP vs Procedural Trade-offsMedium

Tests engineering judgment about maintainability, performance, and complexity in pipelines.

data processingprocesstechnical experienceSuperhuman
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