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.
Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
Southern California EdisonDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Southern California EdisonDesign lag, rolling, and calendar features for a forecasting problem with temporal dependence.
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Tests understanding of time-series decomposition concepts.
Southern California EdisonOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Southern California EdisonA framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
Southern California EdisonTests data cleaning strategies for noisy, incomplete utility data.
Southern California EdisonTests model evaluation metrics, validation strategy, and interpretation of results.
Southern California EdisonCalculate a 30-day rolling outage-duration average for each PG&E service area using a CTE, join, and window function.
Pacific Gas and ElectricBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCCompute daily paid GMV and a 7-day trailing moving average using aggregation + window functions.
Balyasny Asset Management
Amazon Development Center U.S.