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Updated weekly · Last refresh Oct 17

Quora Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Statistics & ProbabilityStart here. 3 questions · ~25 min
2
A/B Testing & Experimentation9 questions · ~76 min
Pitfalls in Feed Ranking TestMedium

Design a feed-ranking A/B test with explicit power, guardrails, and a mitigation plan for peeking, SRM, novelty, and network interference.

PeekingNovelty EffectSample Ratio MismatchQuora
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3
Machine Learning9 questions · ~76 min
Handling Imbalanced Classification DataMedium

Explain how to train and evaluate a classifier when the positive class is rare and accuracy is misleading.

Hyperparameter TuningCross-ValidationFeature EngineeringQuora
Real Time Vehicle Model OptimizationHard

Optimize an onboard perception model for low latency inference while preserving enough accuracy for real time vehicle use.

Neural NetworksDeep LearningQuora
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4
Model Evaluation6 questions · ~50 min
Improve Predictive Model AccuracyMedium

Assess why a predictive model is missing accuracy targets and identify changes that would improve it.

Cross-ValidationAccuracyThreshold TuningQuora
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5
SQL & Data Manipulation5 questions + 2 drills · ~62 min
6
Metrics8 questions · ~67 min
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 IndicatorsDiagnosisQuora
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7
More topics10 questions · ~84 min
Improve Quora From User PerspectiveMedium

Assesses product sense and ability to translate user experience into actionable improvements.

product improvementuser feedbackQuora
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.