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Prep plan
Updated weekly · Last refresh Aug 30

Southern California Edison Data Scientist Interview Questions

The questions to prepare for a Southern California Edison Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

38questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~32 min
Design and Reflect on A/B TestMedium

Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.

ExperimentationGuardrail MetricsA/B TestingSouthern California Edison
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingSouthern California Edison
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2
Machine Learning12 questions · ~96 min
Time Series Feature EngineeringMedium

Design lag, rolling, and calendar features for a forecasting problem with temporal dependence.

Feature EngineeringSupervised LearningTime SeriesSouthern California Edison
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3
Statistics & Probability3 questions · ~24 min
Time-Series ComponentsMedium

Tests understanding of time-series decomposition concepts.

seasonalitySouthern California Edison
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4
Behavioral & Leadership13 questions · ~104 min
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5
More topics6 questions · ~48 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisSouthern California Edison
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionSouthern California Edison
Missing Data and OutliersMedium

Tests data cleaning strategies for noisy, incomplete utility data.

data cleaningdata integritySouthern California Edison
Evaluating Model PerformanceMedium

Tests model evaluation metrics, validation strategy, and interpretation of results.

performance metricsModel EvaluationSouthern California Edison
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 38 questions plus 3 hands-on drills to finish this plan.