Most of the technical interview was about the test assignment, there were also some general machine learning questions and a couple of things about testing your models and code
Data Scientist Senior Interview Questions
3,397 data scientist senior interview questions shared by candidates
En la prueba técnica: problemas de algoritmia básica con Python y el desarrollo de un modelo de Machine Learning. Business case relacionado con Glovo.
What was the project you're most proud of doing?
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?
Projects that i have worked on previously and how they were implemented.
Given a fair die, you lose if you roll 1 and you win if the sum of all rolls reaches 100, Which outcome is likelier? What to change for the odds to be equal?
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.
What is xgboost? what are hyperparameters that we use in xgboost.
Given a business scenario frame a Data science problem, choose an algorithm , how will you deploy?
Some questions about data science concepts, from classification to PCA to NLP.
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