Explain a project you worked on. Then asked follow up questions on data and what techniques I used.
Sr Data Scientist Interview Questions
3,505 sr data scientist interview questions shared by candidates
1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.
Let's say you have worked on binary classifier random forest model, and both the classes recieved equal number of votes. How will you proceed further, what is your logic behind it?
Some questions will be their to check the understanding of window functions.(SQL)
What other method than A/B test you could do to increase the power of your experiment?
When building a Streamlit app with LLM integration, which are useful components?
Décrivez moi XX expérience professionnelle, quel était votre rôle dans l'équipe ?
two people were present there. asked 5 min about my background, 5 min to explain a project I've been working and I'm proud of, 40 min working on a assignment and the coding. it was about a banking scenario.
The technical test focused on implementing a RAG (Retrieval-Augmented Generation) system for Customer Support.
What project management experience do you have?
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