Alexander Thamm Data Scientist Interview Questions
The questions to prepare for a Alexander Thamm Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Optimize a slow PostgreSQL query that aggregates completed transactions while preserving customers with no matching activity.
Identify each user's consecutive website activity streaks using date arithmetic and SQL window functions.
Intuit Management Consultancy
Chewy
SuperhumanExplain why a statistically significant experiment result may still be too small to matter for product or business decisions.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
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Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Diagnose a sharp decline in client engagement and break it down into cohorts, funnel steps, and likely business drivers.
Define a success metric for a new feature that captures real user value, not just raw usage.