A problem I often have when approaching interviews for a data science position is that there aren’t any set-in-stone rules about what can be asked of me. Data Science spans many domains so that a question can come from anywhere. While I don’t completely agree with LeetCode, at least it standardizes the concept of interview questions.
So what if we had the same type of standardization for data science? That could help aspiring data scientists who don’t have a track record to speak for themselves to better prepare for interviews. But what would it look like?
Requirements (Not By Order Of Importance)
- Theoretical data science concepts.
- Programming.
- Infrastructure & Pipelines (MLOps and data engineering).
- Analysis.
Now that I have a sort of a manifesto, I can start developing this, but I still have many technical questions to answer before it can be delivered - is it gonna be moderated, or can anyone submit? Is it going to be a SaaS solution (like Codewars) or self-contained (like Rustlings)?