Accenture Data Scientist Interview Questions
The questions to prepare for a Accenture 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.
AccentureOptimize PostgreSQL joins and pre-aggregation to report enterprise customer revenue and support activity at scale.
AccentureFramework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.
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Estimate sample size and power for an experiment, define MDE and guardrails, and decide whether the test is worth running.
AccentureIdentify and mitigate interference, metric contamination, SRM, peeking, and multiple-testing risks across concurrent experiments.
AccentureExplain how to separate recurring seasonal patterns from external shocks in historical time-series analysis.
AccentureInvestigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
AccentureDesign leakage-safe feature engineering and validation for a predictive churn model.
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