Affine Data Scientist Interview Questions
The questions to prepare for a Affine 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.
AffineUse a window function to return each customer's second-highest distinct transaction amount.
AffineUse a window function to find the second-highest distinct transaction value for each client department.
AffineCompare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.
AffineTests understanding of regression fit metrics and when to use adjusted measures.
AffineOutline a practical NLP workflow, from tokenization and TF-IDF baselines to text classification and F1-based evaluation.
AffineExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
AffineDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
AffineInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
AffineAssesses Python fundamentals relevant to data handling and correctness.
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