Diageo Data Scientist Interview Questions
The questions to prepare for a Diageo Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Explain what a p-value means in hypothesis testing and how it relates to statistical significance.
Tests understanding of clustering techniques and data preprocessing for categorical features.
Define a success metric for a new feature that captures real user value, not just raw usage.
Evaluates forecasting approach under data scarcity and market intro context for Diageo.
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.
Sign up to see every question
Create a free account to unlock this list and practice real interview questions.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
HingeCCatalyst Operations & AnalyticsEEsri