Dun&Bradstreet Data Scientist Interview Questions
The questions to prepare for a Dun&Bradstreet Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.
Define a success metric for a new feature that captures real user value, not just raw usage.
Explain how statistical significance and confidence intervals are interpreted in a product experiment.
Choose sample size and runtime by combining baseline rate, MDE, alpha, power, and expected traffic.
Calculate each user's running order total over time using a window function.
Design an A/B test to lift engagement, with a clear hypothesis, power, guardrails, and a pre-registered ship rule.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
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Calculate daily TikTok DAU and the percentage of eligible market users active each day.
TikTokCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
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Spotify
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