iHerb Data Scientist Interview Questions
The questions to prepare for a iHerb Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
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.
iHerbExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
iHerbDesign an end-to-end A/B test for a new product change, including metrics, MDE, power, randomization, and launch decision rules.
iHerbUse a two-proportion z-test and confidence interval to determine whether an observed conversion lift is real or just sampling noise.
iHerbFramework for choosing a feature's primary success metric and guardrails before launch.
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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Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersOptimize a large Microsoft Teams engagement query using early filtering, pre-aggregation, joins, and LAG for weekly trends.
Microsoft