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Prep plan
Updated weekly · Last refresh Aug 30

Blue Orange Digital Data Scientist Interview Questions

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

32questions
~5htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~54 min
2
Machine Learning7 questions · ~62 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffBlue Orange Digital
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised LearningBlue Orange Digital
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3
A/B Testing & Experimentation4 questions · ~36 min
Ship Decision for Call Routing TestMedium

Decide whether an A/B test win is strong enough to ship by combining statistical significance, MDE, and guardrail checks.

Confidence IntervalsStatistical SignificanceP-ValuesBlue Orange Digital
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4
Metrics3 questions · ~27 min
Diagnose Funnel Drop-OffMedium

Analyze where users drop off in a product funnel and identify the biggest conversion leak.

AARRR FrameworkFunnel AnalysisConversion RateBlue Orange Digital
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5
Statistics & Probability3 questions · ~27 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceBlue Orange Digital
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6
Behavioral & Leadership9 questions · ~80 min
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7
More topics1 question · ~9 min
Integrating RAG with LLMsHard

Tests your ability to implement retrieval-augmented generation systems end to end.

RAGBlue Orange Digital
The finish line: interview-readyComplete all 32 questions plus 1 hands-on drill to finish this plan.