Activision Data Scientist Interview Questions
The questions to prepare for a Activision 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.
ActivisionCalculate daily impressions per active user and its 7-day rolling average using PostgreSQL aggregations and date-based windows.
ActivisionExplain how to train and evaluate a churn model when churn is rare and standard accuracy is misleading.
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Choose a primary success metric and guardrails for a game experiment, then explain how that choice drives power, analysis, and ship decisions.
ActivisionInvestigate whether an 8.2% DAU decline is driven by product breakage, logging issues, or normal seasonal patterns.
ActivisionTests ability to translate a product problem into measurable telemetry signals and mitigation plans.
ActivisionDesign a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.
ActivisionExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
ActivisionTests core data-structure knowledge and algorithmic reasoning in Python.
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