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Updated weekly · Last refresh Aug 30

Hugging Face Data Scientist Interview Questions

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

33questions
~5htotal time
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1
Machine LearningStart here. 8 questions · ~67 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 TradeoffHugging Face
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2
A/B Testing & Experimentation3 questions · ~25 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 MismatchHugging Face
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3
Behavioral & Leadership14 questions · ~117 min
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4
More topics8 questions · ~67 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 TotalsHugging Face
Choose Metrics for New FeaturesEasy

Define a practical framework for selecting a north star, supporting KPIs, and leading indicators for a new product feature.

North Star MetricKPIsLeading IndicatorsHugging Face
Model Performance EvaluationEasy

Tests your ability to select metrics, validation strategy, and interpret results for ML models.

PrecisionAccuracyRecallHugging Face
Statistical Significance of ChangesMedium

Tests statistical testing choices, assumptions, and interpreting significance for decision-making.

Hypothesis TestingStatistical SignificanceP-ValuesHugging Face
Improve a Recommendation SystemHard

Evaluates data strategy for improving recommendation quality and user outcomes.

Feature StoreRetrievalRecommendation SystemsHugging Face
Predicting User Churn ApproachMedium

Assesses end-to-end thinking for churn modeling, features, and evaluation.

User NeedsUse CasesProduct VisionHugging Face
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 33 questions plus 2 hands-on drills to finish this plan.