How do you troubleshoot if something is wrong in production?
Sr Data Scientist Interview Questions
3,376 sr data scientist interview questions shared by candidates
The getting-to-know-you chitchat that's average fare for initial recruiter calls.
Questions about one of my projects
In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.
Measure the success of [[insert Slack feature here]] using this dataset. Trust nothing.
Coding exercises
experiments and key metric related q
- Diagram a solution for a multi-modal document prediction task. - Explain overfitting in the context of various algorithms (SVM, random forest, neural network) and techniques to mitigate it (very technical on the details) - Explain how you would deal with class imbalance or other sources of bias in a training data set (again, very technical on the details) - Explain how you would use a Docker container to make a deployable machine learning service using Kubernetes (wanted many devops details). - Have you used a pipeline automation tool like Luigi? Have you used monitoring tools like PagerDuty?
schema based SQL questions purely depends upon your understanding.
Explain a project you worked on. Then asked follow up questions on data and what techniques I used.
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