Explain SHAP and build an ML project

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Quick Overview

This question evaluates understanding of model explainability using SHAP and the competency to design and operationalize an end-to-end machine learning project, covering interpretability, limitations, data collection and labeling, feature engineering, model selection and evaluation, deployment, and monitoring within the Machine Learning domain.

Explain SHAP and build an ML project

Company: Microsoft

Role: Data Scientist

Category: Machine Learning

Difficulty: easy

Interview Round: Technical Screen

Overview: This question evaluates understanding of model explainability using SHAP and the competency to design and operationalize an end-to-end machine learning project, covering interpretability, limitations, data collection and labeling, feature engineering, model selection and evaluation, deployment, and monitoring within the Machine Learning domain.

Read the full Microsoft Data Scientist interview experience this question came from

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Microsoft
Feb 9, 2026
easyData ScientistTechnical ScreenMachine Learning
9
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