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Updated weekly · Last refresh Sep 22

Google Cloud Data Scientist Interview Questions

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

29questions
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1
A/B Testing & ExperimentationStart here. 4 questions · ~34 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingGoogle Cloud
Diagnose Sample Ratio MismatchHard

Investigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.

Guardrail MetricsSample Ratio MismatchA/B TestingGoogle Cloud
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2
Machine Learning3 questions · ~25 min
Rare Failure Prediction Under ImbalanceMedium

Handle severe class imbalance in rare failure prediction while balancing recall, precision, and operational alert volume.

Feature Engineeringmodel trainingClass ImbalanceGoogle Cloud
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3
Metrics5 questions · ~42 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 IndicatorsDiagnosisGoogle Cloud
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4
Statistics & Probability4 questions · ~34 min
Deciding Statistical SignificanceMedium

Tests hypothesis testing fundamentals and practical decision-making for metric changes.

Confidence IntervalsStatistical SignificanceP-ValuesGoogle Cloud
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5
Behavioral & Leadership7 questions · ~59 min
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6
More topics6 questions · ~50 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsGoogle Cloud
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingGoogle Cloud
Where to Build Next Data CenterMedium

Tests translating utilization metrics into product recommendations and operational planning.

Resource AllocationGoogle Cloud
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL for Usage and Revenue GrowthMedium
Practice
Practice drill

Calculate account-level monthly revenue growth and return the top growth-driving accounts within each region.

Date FunctionsJoinsGroup ByGoogle Cloud
SQL Join for Monthly SpendMedium
Practice
Practice drill

Join activity and billing data to calculate average monthly spend across active Google Cloud customers.

Date FunctionsJoinsfinancial dataGoogle Cloud
The finish line: interview-readyComplete all 29 questions plus 2 hands-on drills to finish this plan.