Interview Process
We are currently preparing out interview process and I would like to hear what you think as a potential candidate a out what we are planning for a mid level dlto experienced data scientist.
The first part of the interview is the presentation of a take home coding challenge. They are not expected to develop a fully fetched solution but only a POC with a focus on feasibility. What we are most interested in is the approach they take, what they suggest on how to takle the project and their communication with the business partner. There is no right or wrong in this challenge in principle besides badly written code and logical errors in their approach.
For the second part I want to kearn more about their expertise and breadth and depth of knowledge. This is incredibly difficult to asses in a short time. An idea I found was to give the applicant a list of terms related to a topic and ask them which of them they would feel comfortable explaining and pick a small number of them to validate their claim. It is basically impossible to know all of them since they come from a very wide field of topics, but thats also not the goal. Once more there is no right or wrong, but you see in which fields the applicants have a lot of knowledge and which ones they are less familiar with. We would also emphasize in the interview itself that we don't expect them at all to actually know all of them.
What are your thoughts?
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