Microsoft Data Scientist Machine Learning Interview Questions
Practice the exact questions companies are asking right now.
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Explain KNN and how to tune it
K-Nearest Neighbors (KNN) fundamentals You are interviewing for a Data Scientist role. 1. Explain how the KNN algorithm works for both classification ...
Explain SHAP in an ML System
Describe how you would build an end-to-end machine learning system for a business use case such as churn prediction, ad conversion prediction, or cont...
Explain SHAP and build an ML project
Part A: SHAP 1. What is SHAP (SHapley Additive exPlanations) trying to measure? 2. How do you interpret: - A local SHAP explanation for a single pr...
Compute and plot a precision–recall curve
Precision–Recall (PR) curve coding / evaluation You are given a binary classifier’s outputs on a dataset: - y_true: array of true labels in \(\{0,1\}\...
How would you build and evaluate a classifier?
You are building a binary classification model for a business use case such as fraud detection, churn prediction, lead scoring, or content moderation....
Explain KNN and PCA and key tradeoffs
In a Data Scientist internship interview, you are asked ML fundamentals: 1) K-Nearest Neighbors (KNN) - Explain how KNN works for classification and r...
Compare CNN/RNN/LSTM and implement K-means
Deep Learning Concepts and K-means Implementation (Onsite ML Interview) Part A: CNNs vs RNNs and LSTMs Contrast CNNs and RNNs for the following modali...
Compare CNN, RNN, and LSTM rigorously
Sequence Modeling: Rigorous Comparison of CNNs, RNNs, and LSTMs Context and assumptions: - We are modeling 1D sequences of shape (batch=32, time=100, ...
Implement robust k-means from scratch
Implement K-Means Clustering From Scratch (Production-Ready) Context You are asked to implement K-Means clustering from scratch for a machine learning...
Design a model for imbalanced conversions
Predicting Purchase Propensity After a Campaign (5% Positives) You previously ran a marketing campaign to 10,000 customers and observed 500 purchases ...
Explain Deep Learning to a 5-Year-Old Child
Microsoft Phone-Screen: Machine Learning Fundamentals You are interviewing for a machine learning/data science role and should provide concise, struct...