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Updated weekly · Last refresh Oct 17
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Nubank Data Scientist Interview Questions

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

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Behavioral & LeadershipStart here. 4 questions · ~36 min
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More topics8 questions · ~72 min
Rolling Average with Window FunctionsMedium
Practice

Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.

Date FunctionsData ManipulationAggregationsNNubank
Investigate Transaction DropsHard

Investigate a sudden transaction approval rate decline by validating the metric, decomposing drivers, and distinguishing product issues from data or ext...

Funnel AnalysisConversion Rateoperational healthNNubank
Deploying Models to ProductionHard

Explain a production ML deployment lifecycle covering packaging, serving, validation, monitoring, drift detection, and rollback.

model selectiondata driftMachine LearningNNubank
Assessing Statistical SignificanceHard

Explain how to select, execute, and interpret statistical significance tests for A/B test results.

experiment designGuardrail MetricsData AnalysisNNubank
Balance Conversion and RetentionHard

Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.

Feature PrioritizationUser NeedsValue PropositionNNubank
Mitigating Experimentation PitfallsHard

Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.

experiment designNetwork InterferenceNetwork EffectsNNubank
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningNNubank
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueNNubank

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