DICE Data Scientist Interview Questions
The questions to prepare for a DICE Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Evaluates interpretation of mixed KPI signals and decision-making in experiments.
Evaluates metric design and product sense for DICE's event recommendations.
Tests recommendation strategy and user experience considerations within DICE.
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.
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Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutCount valid daily interactions and return the top three users using aggregation and deterministic ranking.