Autodesk Data Scientist Interview Questions
The questions to prepare for a Autodesk Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Assesses experimental design choices for pricing changes, including segmentation and measurement strategy.
AutodeskAssesses judgment in interpreting experiments with tradeoffs and deciding next steps under conflicting signals.
AutodeskEvaluates translating product definitions into efficient SQL over event log data.
AutodeskUse a CTE and DENSE_RANK to find all candidates tied at the second-highest SQL assessment mark.
Interactive BrokersAutodeskCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITUse CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
Curefit
ReachMobi
IndeedEvaluates KPI selection across adoption, engagement, and outcome quality for an AI-assisted product feature.
AutodeskTests understanding of clustering assumptions and appropriate use cases for K-means.
AutodeskAssesses product analytics thinking, metric design, and alignment to user value and adoption.
AutodeskAssesses statistical test selection for skewed distributions and practical reasoning with real product data.
AutodeskEvaluates system design tradeoffs for low-latency ML inference and re-ranking in production APIs.
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