KAYAK Data Scientist Interview Questions
The questions to prepare for a KAYAK Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
KAYAKExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
KAYAKExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
KAYAKExplain how to reduce overfitting using regularization, validation, and model selection.
KAYAKSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Explain how you used data analysis to make a business recommendation and drive a clear product decision.
KAYAKTests your understanding of KAYAK expectations and how you position your strengths.
KAYAKChoose visuals that make trend direction, comparisons, and KPI drivers easy to understand at a glance.
KAYAKTests practical data cleaning decisions and impact on downstream analysis quality.
KAYAKCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Compute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.
Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AI