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Santander Holdings USA Data Scientist Interview Questions

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

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1
NLPStart here. 3 questions · ~24 min
Compare CNNs, RNNs, and TransformersHard

Explain how CNNs, RNNs, and Transformers differ for text modeling, and when each architecture is a better fit.

Neural NetworksLanguage ModelsDeep LearningSantander Holdings USA
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2
Machine Learning8 questions · ~65 min
Preventing Overfitting on Small DataMedium

Explain how to reduce overfitting on small or noisy datasets using regularization, validation strategy, and model complexity control.

Cross-ValidationBias-Variance TradeoffRegularizationSantander Holdings USA
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3
Behavioral & Leadership12 questions · ~98 min
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4
More topics8 questions · ~65 min
Diagnose Sample Ratio MismatchHard

Investigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.

Guardrail MetricsSample Ratio MismatchA/B TestingSantander Holdings USA
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueSantander Holdings USA
Interpreting P Values in TestingEasy

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

Hypothesis TestingStatistical SignificanceP-ValuesSantander Holdings USA
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 IndicatorsDiagnosisSantander Holdings USA
Top Customers by Region SQLMedium

Tests SQL skills for ranking and partitioning results by region.

RankingGroup BysqlSantander Holdings USA
Classifying With High False-Negative CostMedium

Evaluates model evaluation choices under asymmetric error costs.

ClassificationThreshold TuningModel MetricsSantander Holdings USA
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Cumulative Comments by UserHard
Practice
Practice drill

Calculate each user's daily and cumulative Reddit comment count, including dates with no activity.

Window Functionsmissing valuesDate FunctionsReddit
Top Artists Per User QueryMedium
Practice
Practice drill

Rank each user's three most-played Spotify artists during the latest 30-day period.

Window FunctionsDate FunctionsRankingSpotify
Rolling Transaction SQL and RankingHard
Practice
Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeAANT SolutionRakuten
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.