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.
Calculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.
Owner
TredenceCalculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.
Design a feature experiment with clear hypotheses, metrics, power, randomization, analysis rules, and safeguards against common pitfalls.
Sign up to see every question
Create a free account to unlock this list and practice real interview questions.
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.
Evaluates reasoning behind model evaluation choices