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Prep plan
Updated weekly · Last refresh Aug 30

MORSE Data Scientist Interview Questions

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

35questions
~5htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 2 drills · ~71 min
2
Machine Learning6 questions · ~51 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 TradeoffMORSE
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3
Product Sense4 questions · ~34 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionMORSE
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4
Behavioral & Leadership11 questions · ~93 min
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5
More topics8 questions · ~68 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchMORSE
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceMORSE
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCMORSE
Design a Personalized Recommendation RankerHard

Design a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.

RetrievalTwo-Tower ModelsRecommendation SystemsMORSE
Diagnose Metric Drop After ReleaseHard

Tests your ability to perform post-release metric debugging and root-cause analysis.

Funnel AnalysisLeading IndicatorsDiagnosisMORSE
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The finish line: interview-readyComplete all 35 questions plus 2 hands-on drills to finish this plan.