Data Science Software Interview Questions
The questions to prepare for Data Science Software interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.
Rank campaigns by advertiser performance and calculate campaign-level running conversions over time with PostgreSQL window functions.
Stackadapt
LiveRamp
Amazon AdvertisingRank Delta Air Lines routes by monthly revenue using joins, aggregation, and a window function.
Delta Air LinesIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Define a success metric for a new feature that captures real user value, not just raw usage.
Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.