Sunrun Data Scientist Interview Questions
The questions to prepare for a Sunrun Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Describe how you translated a complex technical concept for a non-technical audience and drove understanding or action.
SunrunApproach for translating a complex research result into a clear, useful message for a non-expert audience.
SunrunExplain how you have designed and implemented A/B tests, including hypothesis setup, analysis, and decision making.
SunrunExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
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Discuss preferred configuration management tools for pipeline environments, with focus on drift control, versioning, and automation.
SunrunExplain how visualization tools help analysts track KPIs, spot patterns, and support decisions.
SunrunTests practical programming and query skills for working with data in analysis workflows.
SunrunCalculate monthly California solar lead conversions and their month-over-month percentage growth.
SunrunAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Inc.
Benjamin MooreCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Tests knowledge of modeling algorithms, training practices, and selecting appropriate evaluation metrics.
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