Adastra Group Data Scientist Interview Questions
The questions to prepare for a Adastra Group Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use LAG and LEAD to analyze Carvana vehicle detail page actions within completed web sessions.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
HingeCCatalyst Operations & AnalyticsAAlight SolutionsDescribe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
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Define a success metric for a new feature that captures real user value, not just raw usage.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Evaluates practical experience building and operating data pipelines for ML workflows.
Assesses ability to communicate core machine learning concepts clearly and accurately.