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Updated weekly · Last refresh Aug 30

SG Analytics Data Scientist Interview Questions

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

33questions
~4htotal time
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1
Statistics & ProbabilityStart here. 5 questions · ~41 min
2
Machine Learning12 questions · ~97 min
Handling Missing and Noisy DataEasy

Explain a practical approach for handling missing values and noisy observations in a supervised learning dataset.

Cross-ValidationFeature EngineeringSupervised LearningSG Analytics
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3
Behavioral & Leadership8 questions · ~65 min
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4
More topics8 questions · ~65 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchSG Analytics
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisSG Analytics
Validate a Model Before DeploymentMedium

Explain how to validate a model before deployment, including thresholds, calibration, and holdout testing.

Cross-ValidationCalibrationThreshold TuningSG Analytics
Design User Engagement MetricMedium

Tests metric design and operationalization for measuring FIRSTNET GLOBAL user engagement.

product metricsdesignuser engagementSG Analytics
SQL Window FunctionsMedium

Evaluates your SQL proficiency and ability to use window functions for advanced analytics.

project experienceData AnalysisSG Analytics
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 TestingSG Analytics
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 33 questions plus 3 hands-on drills to finish this plan.