Microsoft Data Scientist Interview Questions
The questions to prepare for a Microsoft Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Analyze the significance of the F1 score in a binary classification model for customer churn prediction, and propose improvements.
MicrosoftExplain why F1 is more informative than accuracy for a fraud model with 97.2% accuracy but only 18% recall on a 1% positive class.
MicrosoftExplain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.
MicrosoftSign up to see every question
Create a free account to unlock this list and practice real interview questions.
A structured approach for designing a new feature in an existing product, from user need to MVP and success criteria.
MicrosoftDesign a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.
MicrosoftDefine a practical KPI set for product success, balancing a north star metric with leading indicators.
MicrosoftDecide when randomization is infeasible or invalid and when a quasi-experiment is the better causal design.
MicrosoftExplain how you used Pandas for data cleaning, null handling, and aggregation in a practical data manipulation workflow.
MicrosoftUse a CTE and ROW_NUMBER to identify duplicate customer records, keep one row, and flag the rest.
MicrosoftClean mixed Microsoft Store revenue strings and cast valid values to PostgreSQL numeric data.
MicrosoftOptimize a large Microsoft Teams engagement query using early filtering, pre-aggregation, joins, and LAG for weekly trends.
Microsoft