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Steven Douglas Associates Data Scientist Interview Questions

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

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~5htotal time
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1
Machine LearningStart here. 11 questions · ~92 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 LearningSteven Douglas Associates
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2
Statistics & Probability7 questions · ~58 min
Correlation vs Causation in AnalysisEasy

Explain why two metrics moving together does not prove that one causes the other, and how to assess causality more carefully.

RegressionCorrelationCausal InferenceSteven Douglas Associates
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceSteven Douglas Associates
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3
SQL & Data Manipulation3 questions + 3 drills · ~55 min
SQL Join TypesEasy

Tests your understanding of SQL join semantics and correct query construction.

Steven Douglas Associates
SQL Joins and Window FunctionsMedium
Practice
Practice drill

Join recruiting tables, average interview scores, and rank each Steven Douglas Associates candidate's applications with ROW_NUMBER().

Window FunctionsJoinssql querySteven Douglas AssociatesNiCE
SQL Top 10% Creators by EngagementMedium
Practice
Practice drill

Rank TikTok creators by 30-day engagement and return the top 10% using aggregation and window functions.

Date Functionssql queryData AnalysisTikTok
Top Categories Over TimeMedium
Practice
Practice drill

Rank top product categories by revenue and units sold during a defined reporting period.

Date FunctionsJoinssql queryEEstée Lauder CompaniesWWMFAmazon Development Center U.S.
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4
Behavioral & Leadership10 questions · ~83 min
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5
More topics4 questions · ~33 min
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsSteven Douglas Associates
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 MismatchSteven Douglas Associates
AUC and AUC-ROC CurveMedium

Tests your understanding of classification evaluation metrics and ROC interpretation.

Steven Douglas Associates
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 IndicatorsDiagnosisSteven Douglas Associates
The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.