2nd Technical Interview: 1 hour technical conversation with the Data Science Team Leader. I was asked about my prior experiences and theoretical questions regarding how I would solve some specific Data Science and Machine Learning problems.
Interview questions [1]
Question 1
What did you do in your previous job? What tools did you use? Did you process large datasets? Do you write code and how do you ensure clean code practices? What are your MLOps capabilities? What problems did your solutions have in your previous work and how did you fix them? They also asked classic ML questions: When is classical machine learning better than deep neural networks? What is boosting, bagging, XGBoost, random forest, and decision trees in general?