Bloomberg Data Scientist Interview Questions
The questions to prepare for a Bloomberg Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
BloombergCompute the probability that two fair six-sided dice add up to 9 by counting favorable outcomes over total outcomes.
BloombergExplain 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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Approach for maintaining high quality data across ML pipelines, from ingestion through feature generation and model consumption.
BloombergIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
BloombergInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
BloombergExplain FIFO queues and LIFO stacks to a child using a simple everyday analogy.
BloombergPrioritize metrics for Bloomberg advertising measurement while balancing growth, accuracy, and advertiser trust.
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