Warner Bros. Discovery Data Scientist Interview Questions
The questions to prepare for a Warner Bros. Discovery Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Warner Bros. DiscoveryUse joins, aggregation, and row numbering to find the top three genres by viewing time for each user demographic.
Warner Bros. DiscoveryExplain how to train and evaluate a churn model when churn is rare and standard accuracy is misleading.
Warner Bros. DiscoveryTests experimental design, causal reasoning, and guardrails for streaming recommendation changes.
Warner Bros. DiscoveryEvaluate whether a recommendation system is improving engagement and ranking quality, not just offline metrics.
Warner Bros. DiscoveryExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
Warner Bros. DiscoveryEvaluates end-to-end thinking about data flow, quality, and handoffs to modeling.
Warner Bros. DiscoveryTests system design for cold-start recommendations, including data, modeling, and serving considerations.
Warner Bros. DiscoveryTests structured troubleshooting using metrics, segmentation, and hypothesis-driven analysis.
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