Resume questions and deep learning based questions on recurrence, transformers, CNNs, math behind loss functions. Graph coding question but it wasn’t provided, he off the cuff spoke out a question I had to solve. Avoid.
Sr Data Scientist Interview Questions
3,374 sr data scientist interview questions shared by candidates
array sorting and recursion type question
Some examples: - Describe the APIs you would implement to create a program that ran a game. - Given imbalanced data, walk through the process of building a machine learning model. - Calculate expected values for different distributions and scenarios.
5 onsite rounds; one lengthy data modeling exercise on real world data to be done in 1 hour!
Tell me about a project you did.
What is cosine similarity and chi square test, anova test.
About before experience, projects and technical skills.
The hiring manager acted more like an interrogator than a professional interviewer. He tried to find contradictions in my resume instead of asking deep questions about how I did my prior projects. For example, he wanted to put me in a corner that GPT 3.5 was not issued when I claimed it in my resume, while he was wrong about the issue date of GPT 3.5. See, how cheap were his questions!
We discussed a number of things, e.g., some machine learning questions.
- Tell me about your experience in ML and your resume. - How to deal with seasonality in a time series. - What is a decision tree. - What is bias vs variance and how to treat them. - What is price elasticity. - How to convince a senior executive that data science is important (duh! seriously, I got asked this question by the person who was looking at another screen and was not even listening!)
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