Technical: Questions related to data science and machine learning pipelines. A real data science problem was discussed in the interview where Interviewer was interested to see my approach to solve that problem. Non-Technical: Your biggest achievement? Name a problem and how did you solve it while working on a project? How do you solve a problem while working in a team? Where do you see yourself in 2021 and in next 5 years? Why interested in Confiz?
Different tokenizers used in different LLM's
1. Why do you want to join? 2. Explain the usual procedure for building a Default rate prediction in the Risk Team? 3. How big is your team and what developments you are working on?
Designing Ad Platform recommendatio system
¿Por qué se escalan las variables? ¿Se tienen que estandarizar las variables para todos los modelos?
What are your experiences with NLP?
i will keep that confidential
I was a fan of the take-home technical exam! It really provides the evaluators with good insight on your thought process and skills, exposes you to the kinds of tasks you'll be doing on the job, and it makes for a great conversation during the follow-up interview.
1. Basic data science questions like what is linear regression. 2. How will you handle if junior outperform you. 3. how will you handle ego.
How you treat imbalance data. What is precision, recall etc. Basic data science questions
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