Python: what is context manager? What are decorators?
Lead Data Scientist Interview Questions
409 lead data scientist interview questions shared by candidates
Lots of SQL work and light python work. No major questions about machine learning. I think that that's where they want to be soon, but they're just not there yet.
Pricing and Market entry questions.
Describe a good impactful project
Have you deployed models on cloud
Two first-round technical data science interviews for two different roles within CVS Health. Both interviewers were very nice to speak with; however, their approach—and consequently, my impression—was completely different. 1. SQL Interview (should have been easy, right?) – Terrible experience! Three or four well-defined tasks were given. However, the partially written SQL queries and the lack of direction on whether I was required to modify the existing code or implement my own solution left me scrambling to debug the poorly written queries before even proceeding, as the original queries failed to run from the start. Oh, and the interviewer simply dropped the code into CoderPad, went on mute, and seemingly did other things, making it impossible to ask questions. 2. Python Interview – Excellent experience with the interviewer(kind & professional). The question was moderately challenging (LeetCode medium or a simplified hard), and although I wasn’t able to fully complete the solution in time, I was given a helpful hint along the way.
General ML questions by the panel.
Typical behavioral and deep dive in technical projects with questions focused on ML design.
Technical test was a live, timed test where you could use any resources you needed to. It involved a series of short, straightforward Python tasks involving lists/dictionaries followed by a pandas data transformation task in a Google Colab notebook. Then I was asked to analyze a regression task output and any potential issues, followed by some general questions like, what are the pros/cons of random forests vs. gradient boosted forests; if you were trying to predict XYZ, what would you consider using, etc. Most of the other questions were around my past work or other case type questions - how would you solve this or go about doing this?
Viewing 181 - 190 interview questions