Top 44
Prep plan
Updated weekly · Last refresh Oct 17

Faire Data Scientist Interview Questions

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

44questions
~6htotal time
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1
A/B Testing & ExperimentationStart here. 7 questions · ~59 min
2
Machine Learning9 questions · ~75 min
Build a Predictive Model from DataMedium

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

Cross-ValidationFeature EngineeringSupervised LearningFaire
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3
SQL & Data Manipulation5 questions + 2 drills · ~62 min
4
Behavioral & Leadership13 questions · ~109 min
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5
More topics10 questions · ~84 min
Validate a Model With Cross-ValidationMedium

Explain how to use cross-validation to validate a model and judge whether the result is stable enough to trust.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffFaire
Diagnose a Sudden DAU DropHard

Investigate whether an 8.2% DAU decline is driven by product breakage, logging issues, or normal seasonal patterns.

DAU/MAUDiagnosisTime SeriesFaire
Sample Size and Power PlanningMedium

Reason about sample size, power, and minimum detectable effect before launching an experiment.

Hypothesis TestingPower AnalysisSample SizeFaire
Recommender System DesignHard

Design a scalable recommender system, covering retrieval, ranking, serving, evaluation, and operational risks.

ML Rankinginference latencyfailure modesFaire
Batch vs Streaming PipelinesMedium

Assesses tradeoffs in pipeline architecture and your monitoring strategy for reliability.

Stream ProcessingmonitoringBatch ProcessingFaire
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The finish line: interview-readyComplete all 44 questions plus 2 hands-on drills to finish this plan.