Kaplan Data Scientist Interview Questions
The questions to prepare for a Kaplan Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to decide when a treatment improves one metric but harms another, using primary metrics, guardrails, and practical significance.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
Decide whether a multi-armed bandit is appropriate for a growth experiment versus a fixed-horizon A/B/n test.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests conflict resolution, stakeholder influence, data-driven communication, and ownership during disagreement with product.
Explain window functions and calculate a rolling average for time-series measurements.
Define how to measure UX impact, choose the right KPI, and separate signal from noise.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Return the second-highest distinct non-null salary from a single employee table.
PayU
Itc InfotechCalculate a rolling average of order values per Zomato user using a window function.
Zomato