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Updated weekly · Last refresh Oct 17

Quantexa Data Scientist Interview Questions

The questions to prepare for a Quantexa 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 · ~44 min
2
A/B Testing & Experimentation4 questions · ~35 min
Design Test for Novelty and SpilloversHard

Design an experiment that accounts for novelty effects and network spillovers before deciding whether to ship.

Network InterferenceExperimentationNovelty EffectQuantexa
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3
Machine Learning11 questions · ~97 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningQuantexa
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4
Product Sense3 questions · ~26 min
Using Data to Influence DecisionsEasy

Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.

User ResearchUser NeedsValue PropositionQuantexa
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5
Metrics3 questions · ~26 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisQuantexa
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6
System Design4 questions · ~35 min
Distributed Code DesignHard

Evaluates your approach to parallelizing workloads and designing distributed systems.

distributed systemsQuantexa
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7
More topics20 questions · ~176 min
Improve Model AccuracyMedium

Approach for improving a model's accuracy by checking errors, features, and tuning choices.

Hyperparameter TuningCross-ValidationAccuracyQuantexa
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceQuantexa
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