Top 37
Prep plan
Updated weekly · Last refresh Sep 22

Superhuman Data Scientist Interview Questions

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

37questions
~5htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 1 drill · ~63 min
2
Product Sense4 questions · ~35 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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3
Metrics3 questions · ~26 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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4
Machine Learning3 questions · ~26 min
Optimize Search Time ComplexityMedium

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

time complexityAlgorithmsSuperhuman
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5
A/B Testing & Experimentation4 questions · ~35 min
Design and Analyze a Feature ExperimentHard

Tests experimental design and analysis skills for measuring feature impact on business outcomes.

experiment designbusiness goalsSuperhuman
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6
Behavioral & Leadership11 questions · ~96 min
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7
More topics6 questions · ~53 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
Interpret Graphs and Experiment ResultsMedium

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

Superhuman
Session Tracking Class DesignMedium

Tests object modeling, inheritance/relationships, and practical Python class design.

code qualitysolution designtechnical experienceSuperhuman
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The finish line: interview-readyComplete all 37 questions plus 1 hands-on drill to finish this plan.