regular questions about ml, stats, like bayes theorem, stats tests and general assumption for solving linear regression, MLE/MAP
Staff Data Scientist Interview Questions
112 staff data scientist interview questions shared by candidates
Derive and implement logistic regression.
The Interviewer has a list of problems mentioned below. I was asked to pick one of them and code the algorithm 1. There are few points generated which belong to two classes. I was asked to code the logistic regression without using any external library like scikit-learn or scipy. I was to asked to code entirely in numpy 2. There's a question on solving PCA using iterative methods 3. There's a question on solving eigen vectors using iterative methods 4. There's a question on clustering using k-means on a psuedo generated clusters. 5. One more Question is to implement EM algorithm using numpy. During the process of interview and coding lot's of questions related to optimized numpy code. Ex he asked do you what broadcasting is ?. Mostly he tried to make me do vectorized numpy coding
Build a simple attribution model using a list of dictionaries.
Write a query to join two tables.
Prepare a slide deck on an impactful project
Tell me about the projects you worked on. Even for this, I didn't embellish. The hiring manager would have known had I been BSing.
90 minute online exam on codesignal before talking to a recruiter. Coding was ridiculously easy, SQL questions slightly harder, and they had some really silly data science multiple choice questions which involved hand calculating the results of linear and logistic regression.
1- ML and Deep learning questions 2- Sparse matrix implementation 3- unit testing
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