Top 11
Prep plan
Updated weekly · Last refresh Oct 17

ComEd Data Scientist Interview Questions

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

11questions
~2htotal time
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1
Machine LearningStart here. 4 questions · ~36 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 TradeoffComEd
Applying Machine LearningMedium

Tests your end-to-end ML execution and how you measure impact.

Cross-ValidationSupervised LearningDecision TreesComEd
Significance of Feature EngineeringEasy

Tests your ability to create predictive features and improve model performance.

Cross-ValidationFeature EngineeringBias-Variance TradeoffComEd
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2
Statistics & Probability3 questions · ~27 min
Predicting Energy DemandMedium

Tests your ability to define forecasting features, assumptions, and drivers for ComEd’s load.

RegressionCorrelationTime SeriesComEd
Working With Sparse DataMedium

Tests your strategy for modeling, validation, and uncertainty under limited observations.

Bayesian ReasoningVarianceSample SizeComEd
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3
More topics4 questions · ~36 min
Customer Consumption InsightsMedium

Tests your data analysis skills for deriving actionable insights from consumption data.

KPIsLeading IndicatorsDiagnosisComEd
Motivation for Strong PerformanceEasy

Tests your drive and alignment with the expectations of a data-driven role.

User NeedsValue PropositionComEd
Handling Missing DataEasy
Practice

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingComEd
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 11 questions plus 2 hands-on drills to finish this plan.