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.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Keep the latest valid Gartner Peer Insights review per source key using ROW_NUMBER and deterministic tie-breaking.
Gartner
BrazeDeduplicate customer records with ROW_NUMBER, retaining the latest record and reporting duplicate counts.
NewWave Telecom & TechnologiesExplain why a statistically significant experiment result may still be too small to matter for product or business decisions.
Define a success metric for a new feature that captures real user value, not just raw usage.
Diagnose a sharp decline in client engagement and break it down into cohorts, funnel steps, and likely business drivers.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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