Castlight Data Scientist Interview Questions
The questions to prepare for a Castlight Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Assess the 15% drop in user engagement after a new app feature release and propose metric decomposition strategies.
CastlightOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
CastlightDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
CastlightIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Assesses statistical reasoning for significance testing under low event rates in healthcare engagement.
CastlightEvaluates modeling approach and metric selection for predicting healthcare cost utilization.
CastlightTests ability to design SQL for recommendation-style data retrieval and filtering.
CastlightAssesses diagnostic thinking to separate seasonality effects from product issues in engagement data.
CastlightUse joins, aggregation, a CTE, and ROW_NUMBER to rank Instagram Save users by quarterly engagement within each region.
MetaMeasure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.
AirbnbGGetYourGuideAggregate watch minutes and rank the five most-watched shows within each region.