Dataiku Data Scientist Interview Questions
The questions to prepare for a Dataiku Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
DataikuCalculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
AAreteDetermine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
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Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
DataikuApproach for turning user feedback into a well-scoped feature, with clear prioritization, MVP definition, and success metrics.
DataikuAssesses your ability to explain ML concepts with clear intuition and analogies.
DataikuEvaluates your statistical rigor in checking assumptions before interpreting test results.
DataikuApproach for handling missing values in a pipeline with data quality checks and repeatable transformations.
DataikuEvaluates model selection reasoning and critical thinking about improvements.
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