1. Walk me through your resume 2. Describe your strengths and weaknesses 3. Do you know anything in the front-end space? (For which I said yes and I tried to demonstrate some of the webapps I built) 4. Are you willing to work over weekends on a fixed schedule? (oncall) 5. What are your top 5 skills?
Tell me about yourself, salary expectations etc.
They don't know anything about ML and data science. They have already dissolved there data science team once because of incompetency.
1. A recursion question which has problem statement on no of ways to get promoted, if 2,3,4 promotions are possible per year.
Questions like - what distance metrics to use when clustering with categorical data.
1st round - Online test (coding + MCQs on data science) 2nd round - Technical interview. Questions related to your past work and projects. 3rd round - Technical interview. Questions on common ML algorithms, parameters, bias-variance, metrics, quant problems, statistics, probability etc.
Normal python questions and questions related to my projects.
Typical machine learning, data scientist questions. Medium leetcode questions
Normal around resume ml stuff doesn't seem anything different
No detailed data science question will be asked they will ask very basic questions and rest is your luck. because you will not be able to know what and why did not like. the question such as how did you remove null value /outlier treatment/ training process.
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