Top 33
Prep plan
Updated weekly · Last refresh Sep 7

Scale Data Scientist Interview Questions

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

33questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
2
A/B Testing & Experimentation5 questions · ~42 min
Choose Randomization Unit for Campaign TestHard

Design a campaign experiment by choosing the right randomization unit and checking power, interference, and guardrails.

Network InterferenceExperimentationA/B TestingScale
Test Retention Lift from New FeatureHard

Design an experiment to determine whether a new product feature causes a meaningful retention lift without harming key guardrail metrics.

ExperimentationGuardrail MetricsA/B TestingScale
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3
Machine Learning13 questions · ~109 min
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningScale
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4
Statistics & Probability4 questions · ~33 min
Detecting Distribution Shifts Over TimeMedium

Tests statistical methods for detecting meaningful drift in model outputs.

DistributionsStatistical SignificanceTime SeriesScale
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5
Behavioral & Leadership4 questions · ~33 min
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6
More topics4 questions · ~33 min
Define Feature Success MetricsMedium

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

MetricsFeature PrioritizationProduct VisionScale
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 IndicatorsDiagnosisScale
Batch Image Inference PipelineHard

Evaluates your ability to build an efficient data and inference pipeline for computer vision models.

Scale
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The finish line: interview-readyComplete all 33 questions plus 2 hands-on drills to finish this plan.