Asked high level questions about past projects and career objectives
Lead Data Scientist Interview Questions
402 lead data scientist interview questions shared by candidates
ML/NLp/GenAI/Mlops system design in each technical interview
- Presentation of a ML problem in the industry - Present a solution to a case study of how you would use AI/ML to solve a problem in the chemical industry
About the projects you have worked
Describe the key steps for building a two-class predictive model, from initial problem definition, to the release of the model. For each step describe possible challenges or mistakes that may happen at that stage and how it may impact the final outcome
Question regarding RAG pipeline, Agent framework, DSA and system design
Classical ML - what is homoscedasticity? What is regularization Difference between Standardization and Normalization Linear regression and any 5 evaluation metrics Machine Learning pipeline
Github: Difference between Merge and Rebase
Python: what is context manager? What are decorators?
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.
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