Castlight Data Scientist Interview Questions
The questions to prepare for a Castlight Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Tests whether you can communicate statistical thinking clearly, own the analysis end-to-end, and adapt your message to different audiences.
CastlightIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
CastlightOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
CastlightTests ability to design SQL for recommendation-style data retrieval and filtering.
CastlightEvaluates understanding of core machine learning concepts and algorithm behavior.
CastlightDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
CastlightAssess the 15% drop in user engagement after a new app feature release and propose metric decomposition strategies.
CastlightTests your baseline SQL knowledge for querying and working with relational data.
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Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersIdentify duplicate Dover India asset records using GROUP BY and HAVING, excluding the unique record identifier.
Dover India
DataAnnotation