Dataford
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Updated weekly · Last refresh Aug 30

Gamma Data Scientist Interview Questions

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

48questions
~6htotal time
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1
A/B Testing & ExperimentationStart here. 13 questions · ~104 min
Use CUPED to Improve Experiment PowerHard

Assess how CUPED changes variance and sample size in an online experiment, and decide whether the uplift is detectable.

ExperimentationCUPEDPower AnalysisGamma
Diagnose Sample Ratio MismatchHard

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

Guardrail MetricsSample Ratio MismatchA/B TestingGamma
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2
Metrics11 questions · ~88 min
Measure AI Engagement ImpactMedium

Define how to measure whether an AI feature improves engagement, repeat usage, and downstream product value.

KPIsEngagement MetricsGamma
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3
Model Evaluation6 questions · ~48 min
Evaluate Models in ProductionHard

How to evaluate a production model using calibration, thresholds, and confusion matrix tradeoffs.

CalibrationAccuracyThreshold TuningGamma
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4
Product Sense4 questions · ~32 min
Defining High-Quality AI PresentationsHard

Evaluates your ability to translate subjective quality into measurable product and content metrics.

user valueProduct VisionGamma
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5
Behavioral & Leadership11 questions · ~88 min
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6
More topics3 questions · ~24 min
Handling Outliers in Engagement DataEasy

Assesses your approach to robust analysis and data quality in product metrics.

data preprocessingoutliersBiasGamma
Real-Time AI Output Monitoring DashboardHard

Tests your ability to design monitoring that detects quality issues quickly and reliably.

data pipelinemonitoringdashboard designGamma
ML Pipeline Basics and RegressionHard

Tests your foundational ML knowledge and practical handling of categorical features in regression.

RegressionGamma
The finish line: interview-readyComplete all 48 questions to finish this plan.