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Stefanini Brasil Data Scientist Interview Questions

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

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Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B Testing
Stefanini Brasil
Common Pitfalls in Experiment Results
Hard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio Mismatch
Stefanini Brasil
Data Cleaning in ETL PipelinesEasy

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQuality
Stefanini Brasil
Handling Missing Data in Pipelines
Medium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch Processing
Stefanini Brasil

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Choosing the Right ML Algorithm
Medium

Decide which supervised learning algorithm fits a business problem using data shape, evaluation, and deployment constraints.

Cross-ValidationFeature EngineeringSupervised Learning
Stefanini Brasil
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Statistical Significance in Hypothesis Testing
Easy

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

Hypothesis TestingData AnalysisStatistical Significance
Stefanini Brasil
First Checks for Metric Drops
Easy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosis
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Validating Data Before Reporting
Easy

Explain how to validate SQL data before reporting, including null checks, duplicates, outliers, and aggregation reconciliation.

JoinsData WranglingQuality
Stefanini Brasil