Citizen (NY) Data Scientist Interview Questions
The questions to prepare for a Citizen (NY) Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Aggregate user activity by week, then use LAG to compare sessions and watch time versus the prior active week.
Citizen (NY)Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Citizen (NY)Approach for maintaining data quality and integrity across ETL pipelines.
Citizen (NY)Framework for choosing a feature's primary success metric and guardrails before launch.
Citizen (NY)Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
Citizen (NY)Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Citizen (NY)Tests your knowledge of hypothesis testing and correct interpretation of statistical significance.
Citizen (NY)