Hugging Face Data Scientist Interview Questions
The questions to prepare for a Hugging Face Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new app-store ranking algorithm, including primary metrics, guardrails, sample size, and launch criteria.
Hugging FaceExplain how feature engineering improves supervised model performance and how to validate its impact with proper evaluation.
Hugging FaceExplain how to select metrics, validate predictions, and analyze errors when evaluating a machine learning model.
Hugging FaceCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Hugging FaceDefine a practical framework for selecting a north star, supporting KPIs, and leading indicators for a new product feature.
Hugging FaceTests statistical testing choices, assumptions, and interpreting significance for decision-making.
Hugging FaceAssesses end-to-end thinking for churn modeling, features, and evaluation.
Hugging FaceEvaluates data strategy for improving recommendation quality and user outcomes.
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Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.
RakutenRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo
Cruise