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Updated weekly · Last refresh Oct 17

Spotify Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~53 min
2
A/B Testing & Experimentation11 questions · ~95 min
A/B Test Statistical FrameworkHard

Explain how to design, power, analyze, and interpret an A/B test for a new recommendation algorithm.

experiment designGuardrail MetricsA/B TestingSpotify
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3
Metrics5 questions · ~43 min
Diagnose Facebook DAU DropMedium

Investigate a sudden Facebook DAU decline by separating data issues from real product or platform-driven behavior changes.

KPIsLeading IndicatorsDiagnosisSpotify
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4
Statistics & Probability3 questions · ~26 min
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 SignificanceSpotify
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5
Product Sense6 questions · ~52 min
Product Sense: Playlist SuccessHard

Identify what makes a Spotify playlist successful by connecting user needs, listening behavior, and measurable product outcomes.

product metricsfeature evaluationUser NeedsSpotify
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6
Machine Learning10 questions · ~86 min
Three Sum Variation CodingHard

Tests coding ability and algorithmic reasoning relevant to technical screens.

CodingleetcodeSpotify
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7
More topics10 questions · ~86 min
Flatten Nested JSON LogsMedium

Tests your ability to transform nested event logs into analysis-ready tabular data with Python.

Data Qualitydata integrationtransformationsSpotify
Avoid Feedback Loops in RecsHard

Tests recommender-system safety practices to reduce self-reinforcing bias in Spotify recommendations.

Cold StartFeature DriftRecommendation SystemsSpotify
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.