Data Science Software Data Scientist Interview Questions
The questions to prepare for a Data Science Software Data Scientist interview. 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 LinesDesign a feature experiment with clear hypotheses, metrics, power, randomization, analysis rules, and safeguards against common pitfalls.
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Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.
Define a success metric for a new feature that captures real user value, not just raw usage.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Assesses model selection reasoning and trade-offs.