iHerb Data Scientist Interview Questions
The questions to prepare for a iHerb Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
iHerbCalculate the monthly spending trends for customers using window functions and joins.
iHerbUse a two-proportion z-test and confidence interval to determine whether an observed conversion lift is real or just sampling noise.
iHerbDesign an end-to-end A/B test for a new product change, including metrics, MDE, power, randomization, and launch decision rules.
iHerbFramework for choosing a feature's primary success metric and guardrails before launch.
iHerbExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
iHerbTests your ability to investigate data and model issues impacting business KPIs.
iHerbIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Optimize a large Microsoft Teams engagement query using early filtering, pre-aggregation, joins, and LAG for weekly trends.
MicrosoftClean lead fields, reject invalid dates and emails, deduplicate contacts, and enrich valid leads with campaign names.
Deloitte