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.
Calculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.
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TredenceCalculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.
Identify 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.
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.
Evaluates reasoning behind model evaluation choices
Evaluates pipeline optimization, throughput, and reliability.