Kikoff Data Scientist Interview Questions
The questions to prepare for a Kikoff Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Find the second highest salary in each department without using aggregate functions.
KikoffUse CTEs, aggregations, and window functions to compare gender pay and find each department's second-highest salary.
MeeshoAnalyze where users drop off in a product funnel and identify the biggest conversion leak.
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Framework for deciding what to build first when resources are constrained and trade-offs are unavoidable.
KikoffDesign a campaign experiment by choosing the right randomization unit and checking power, interference, and guardrails.
KikoffExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
KikoffExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
KikoffApproach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.
KikoffExplain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.
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