Activision Data Scientist Interview Questions
The questions to prepare for a Activision Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily distinct active users and a 7-day rolling average using a CTE and window function.
ActivisionCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
ActivisionUse window functions and CTEs to rank top SKUs by revenue and project next-quarter performance.
ActivisionChoose 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.
ActivisionExplain how to train and evaluate a churn model when churn is rare and standard accuracy is misleading.
ActivisionTests metric design, causal thinking, and risk management with guardrails.
ActivisionDesign a recommendation system strategy for model cold start and new-user cold start, including serving, evaluation, and safe rollout.
ActivisionExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
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