Diageo Data Scientist Interview Questions
The questions to prepare for a Diageo Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests resilience and ownership under pressure, especially in ambiguous situations that require clear prioritization and measurable recovery.
Tests influence without authority when a stakeholder resists a data-driven recommendation, including conflict handling and outcome ownership.
Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.
Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.
Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
Explain what a p-value means in hypothesis testing and how it relates to statistical significance.
Define a success metric for a new feature that captures real user value, not just raw usage.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
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