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Updated weekly · Last refresh Oct 17

Gusto Data Scientist Interview Questions

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

24questions
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1
SQL & Data ManipulationStart here. 6 questions · ~58 min
Monthly Active User Growth by PlatformMedium
Practice

Use joins, CTEs, and monthly aggregation to compute Google Maps active users and month-over-month growth.

Window FunctionsDate FunctionsAggregationsGusto
Troubleshooting Missing Rows with JoinsEasy

Explain how INNER JOIN and LEFT JOIN affect missing records and when to use each while debugging data mismatches.

SubqueriesJoinsData WranglingGusto
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2
A/B Testing & Experimentation3 questions · ~29 min
Pre-Register Payroll Onboarding TestMedium

Design a payroll onboarding A/B test with explicit anti-peeking rules, power analysis, and ship criteria tied to guardrails.

PeekingExperimentationStatistical SignificanceGusto
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3
Machine Learning3 questions · ~29 min
Handling Imbalance in Churn ModelsMedium

Explain how to train and evaluate a churn model when churn is rare and standard accuracy is misleading.

Bias-Variance TradeoffModel EvaluationSupervised LearningGusto
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4
Metrics4 questions · ~39 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisGusto
Using A/B Testing ExperienceMedium

Assesses how you use experimentation to improve UX outcomes and decision-making.

experienceA/B TestingGusto
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5
Behavioral & Leadership6 questions · ~58 min
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6
More topics2 questions · ~19 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-ValuesGusto
Health Insurance Recommendation MetricsMedium

Tests metric selection and evaluation design for recommendation systems in health benefits.

Evaluation TechniquesModel MetricsRecommendation SystemsGusto
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