He seemed like someone who just went through some cool ML/DS terms. Asked about how to fit a logistic regression, PCA, p-value, A/B testing, gradient descent, bias-variance tradeoff etc. In scripting question, he merely asked how to find mode of a list without using any in-built maths function or library.
Sr Data Scientist Interview Questions
3,395 sr data scientist interview questions shared by candidates
About data related questions sql and dbms and also some question were from the site
Tell me about yourself? Talk about one project that you are most proud of. Cost function in ML, regularization method, classification problems you deal with, how to evaluate ML model, AUC, F-score, random forest, logistic regression, reduce features, how to deal with class imbalance.
1st round was on ML and 2nd round was about my projects
What is the difference between bagging and boosting?
Implement k-means clustering, with inputs an N*D matrix and outputs k N_i*D matrices.
Very basic questions about machine learning and sql
1. data structure-based questions. 2. string and complexity-based questions 3. detail about SVM
It's common to have 50-60 hour weeks in this role, would you have any issues with that?
What's p value? What's diff between tree and boosting.
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