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BCG Digital Ventures Data Scientist Interview Questions

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

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1
Model EvaluationStart here. 7 questions · ~63 min
2
SQL & Data Manipulation7 questions · ~63 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 TotalsBCG Digital Ventures
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3
Machine Learning7 questions · ~63 min
Classification vs Regression ExplainedEasy

Explain how classification and regression differ, using target type, model outputs, and evaluation metrics.

Feature EngineeringRegressionSupervised LearningBCG Digital Ventures
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4
Statistics & Probability7 questions · ~63 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 InferenceBCG Digital Ventures
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5
Product Sense7 questions · ~63 min
Assess Product Market FitMedium

Evaluate whether a product has true product market fit before increasing spend.

Product-Market FitUser ResearchValue PropositionBCG Digital Ventures
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6
Metrics7 questions · ~63 min
Diagnose Churn by Customer SegmentMedium

Investigate why one customer segment drives most churn and what actions to take.

User SegmentsChurnDiagnosisBCG Digital Ventures
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7
More topics8 questions · ~72 min
Explain an NLP Problem ClearlyHard

Explain how you would frame and communicate an NLP or time-series problem so stakeholders understand the task, data, model, and trade-offs.

Language ModelsText ClassificationTokenizationBCG Digital Ventures
Data Quality in ML PipelinesMedium

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingBCG Digital Ventures
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