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Updated weekly · Last refresh Oct 27

Humana Italia Spa Data Scientist Interview Questions

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

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1
Machine LearningStart here. 9 questions · ~73 min
Feature Selection in High DimensionsMedium

Select and interpret features in high-dimensional system data without being misled by noise, redundancy, or correlated variables.

Cross-ValidationFeature EngineeringRegularizationHumana Italia Spa
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2
Product Sense4 questions · ~32 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentHumana Italia Spa
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3
Behavioral & Leadership11 questions · ~89 min
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4
More topics11 questions · ~89 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceHumana Italia Spa
Common Pitfalls in Experiment ResultsHard

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

PeekingNovelty EffectSample Ratio MismatchHumana Italia Spa
Improve Healthcare Engagement MetricsMedium

Tests your ability to translate analytics into interventions that improve engagement.

user engagementHumana Italia Spa
Debug Production ML PipelineHard

Tests your troubleshooting workflow for reliability, data issues, and model failures in production.

DebuggingproductionHumana Italia Spa
Robust Model ValidationMedium

Tests your model evaluation strategy and robustness thinking for production use.

model validationperformance metricsHumana Italia Spa
Big Data Word Count ApproachMedium

Evaluates foundational big data processing concepts and implementation thinking.

Humana Italia Spa
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Problem Solving WalkthroughHard
Practice
Practice drill

Analyze monthly entity totals, month-over-month changes, and segment rankings from a relational dataset.

data preparationData AnalysisProblem SolvingCentene
Using Data to Solve ProblemsMedium
Practice
Practice drill

Use campaign data to compare conversion performance and demonstrate a data-driven answer with PostgreSQL.

JoinsData Analysisbusiness problemMicrosoft
Manage End-to-End Data ProjectsMedium
Practice
Practice drill

Clean, enrich, and aggregate event data into validated daily metrics using PostgreSQL.

data preparationData Analysisdata validationBByteDance/Tiktok
The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.