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Updated weekly · Last refresh Aug 30

Archer Daniels Midland Data Scientist Interview Questions

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

30questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~41 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 TradeoffArcher Daniels Midland
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2
Statistics & Probability3 questions · ~24 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesArcher Daniels Midland
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3
SQL & Data Manipulation3 questions + 3 drills · ~54 min
4
Behavioral & Leadership10 questions · ~81 min
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5
More topics9 questions · ~73 min
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 IndicatorsDiagnosisArcher Daniels Midland
Design Experiment for Product ChangeHard

Design an end-to-end A/B test for a new product change, including metrics, MDE, power, randomization, and launch decision rules.

ExperimentationGuardrail MetricsA/B TestingArcher Daniels Midland
Prioritize User Problems with DataMedium

Framework for using product data to identify and prioritize the user problem that should be solved first.

Feature PrioritizationUser NeedsPain PointsArcher Daniels Midland
Model Metrics and ValidationMedium

Tests metric selection, validation design, and rigor in measuring model performance.

PrecisionAccuracyRecallArcher Daniels Midland
Building ML PipelinesMedium

Assesses your approach to end-to-end ML pipeline design, including data flow and operationalization.

data processingETLArcher Daniels Midland
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