LinkedIn Data Scientist Interview Questions
The questions to prepare for a LinkedIn Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.
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Differentiate between Type I and Type II errors in hypothesis testing with a practical example.
LinkedInInvestigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.
LinkedInTests cohort analysis skills and SQL techniques for measuring feature impact.
LinkedInCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITRank LinkedIn members by interaction count within each region and return the top five using aggregation and ROW_NUMBER.
LinkedInUse CTEs, joins, and date functions to compare month-1 retention across rider signup cohorts.
Lyft
Didi Chuxing
WaymoTests system design for a LinkedIn recommendation pipeline with production monitoring.
LinkedInEvaluate a model on an imbalanced dataset and judge whether accuracy is misleading.
LinkedInCompare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.
LinkedIn