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Updated weekly · Last refresh Oct 18

Duke Energy Data Scientist Interview Questions

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

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1
Machine LearningStart here. 4 questions · ~38 min
Machine Learning and ProgrammingMedium

Evaluates your ability to deliver ML solutions end to end using programming skills.

ProgrammingDuke Energy
Forecasting Demand During ExtremesHard

Tests end-to-end modeling approach for energy demand forecasting under extreme weather conditions.

Feature EngineeringSupervised LearningTime SeriesDuke Energy
Interpretable vs Black-Box TradeoffMedium

Tests judgment about model selection based on interpretability, accuracy, and stakeholder needs.

Feature EngineeringBias-Variance TradeoffSupervised LearningDuke Energy
Predictive Maintenance With Noisy SensorsMedium

Tests data cleaning strategies and robustness when sensor data is incomplete or noisy.

Cross-ValidationFeature EngineeringSupervised LearningDuke Energy
2
More topics4 questions · ~38 min
SQL for Smart Meter AveragesMedium
Practice

Calculate each user's average hourly consumption from irregular smart meter readings.

Window FunctionsDate FunctionsCTEsDuke Energy
Continuous Model Update PipelineHard

Tests pipeline design for incremental retraining, automation, and operational reliability.

ETLBatch ProcessingOrchestrationDuke Energy
Outlier Detection and TreatmentMedium

Tests statistical reasoning and scalable methods for outlier detection and mitigation.

RegressionCorrelationVarianceDuke Energy
Python Packages ChoiceMedium

Assesses your practical tool selection and reasoning for building data science solutions.

project experienceDuke Energy

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL for User RetentionMedium
Practice
Practice drill

Measure monthly user retention by signup cohort using date calculations and aggregated activity.

Window FunctionsDate FunctionsCTEsGoogleLeidosCConstellation Technologies
SQL for Monthly RetentionMedium
Practice
Practice drill

Calculate monthly customer retention by acquisition campaign and cohort using PostgreSQL aggregations and date-based analysis.

Window FunctionsDate FunctionsCTEsRemitlyAmazon AdvertisingMUFG
The finish line: interview-readyComplete all 8 questions plus 2 hands-on drills to finish this plan.