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Updated weekly · Last refresh Aug 30

BBVA Data Scientist Interview Questions

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

49questions
~7htotal time
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1
Machine LearningStart here. 9 questions · ~77 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffBBVA
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2
Product Sense3 questions · ~26 min
Decide MVP vs Full LaunchMedium

Framework for deciding whether to ship a feature as an MVP or wait for a more complete launch.

Feature PrioritizationMVPProduct VisionBBVA
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3
Statistics & Probability6 questions · ~51 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesBBVA
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4
Behavioral & Leadership21 questions · ~180 min
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5
More topics10 questions · ~86 min
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice

Calculate the monthly spending trends for customers using window functions and joins.

BBVA
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisBBVA
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 TestingBBVA
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCBBVA
Detecting Application FailuresMedium

Assesses your monitoring and incident detection approach for production systems.

BBVA
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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
The finish line: interview-readyComplete all 49 questions plus 1 hands-on drill to finish this plan.