LiveRamp Data Scientist Interview Questions
The questions to prepare for a LiveRamp Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Rank campaigns by advertiser performance and calculate campaign-level running conversions over time with PostgreSQL window functions.
LiveRampCalculate Webex daily active users and seven-day rolling retention using PostgreSQL CTEs, joins, and distinct aggregations.
LiveRampCalculate weekly active users and month-over-month retention from login events using date aggregation and CTEs.
LiveRampDesign an onboarding A/B test with explicit SRM detection, power analysis, guardrails, and a decision rule for whether results are valid.
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Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
LiveRampImplement a CART decision tree from scratch, including split selection, stopping rules, prediction, and evaluation.
LiveRampDefine a success metric for a new feature that captures real user value, not just raw usage.
LiveRampOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
LiveRampApproach for diagnosing why a model's predictions are consistently inaccurate.
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