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Arrow Electronics Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~55 min
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice

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

Arrow Electronics
Top Customers by Sales RevenueEasy
Practice
Practice drill

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsHousecall ProEquifaxXYZ
SQL Query for Data ExtractionEasy
Practice
Practice drill

Extract qualifying market observations by venue and price, then return them in chronological order.

JoinsData ManipulationGroup ByEquifaxDPR ConstructionRigUp
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2
A/B Testing & Experimentation3 questions · ~26 min
Discovery UI Metrics and GuardrailsMedium

Define primary and guardrail metrics for a discovery UI test, with power, MDE, and a pre-registered analysis plan.

ExperimentationGuardrail MetricsA/B TestingArrow Electronics
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3
Machine Learning5 questions · ~44 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 TradeoffArrow Electronics
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4
Behavioral & Leadership10 questions · ~87 min
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5
More topics6 questions · ~52 min
Statistical Project WalkthroughMedium

Walk through a past project using hypothesis testing and regression to turn data into a decision.

RegressionHypothesis TestingStatistical SignificanceArrow Electronics
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueArrow Electronics
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 IndicatorsDiagnosisArrow Electronics
Responding to Underperforming ModelsMedium

Tests model evaluation, debugging, and iteration strategy to restore performance.

F1 ScoreAUC-ROCAccuracyArrow Electronics
Statistical Significance in Business DecisionsEasy

Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.

Hypothesis TestingStatistical SignificanceP-ValuesArrow Electronics
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The finish line: interview-readyComplete all 28 questions plus 2 hands-on drills to finish this plan.