The technical interview was also a breeze. Again, I just walked though my experience. Explained a couple of models that I built - both regression and machine learning. The guy was super nice but no hard balls.
Data Science Interview Questions
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The confirming interview was actually my favorite. First and foremost, it ending up being a second technical interview. But, I think that is because the interviewer was highly technical. There were a few cultural question - such as, what do you do to keep your skills relevant. But again.. insanely easy interview process.
Si vous êtes seul sur une île déserte que faites vous ? Donnez moi vos qualités et défauts ? Pourquoi L'Oréal ? Citez moi les enjeux de l'Oréal ?
rate yourself on a scale from 1-10 (1 being worst and 10 being best) on the following skills: python, R, SQL?
online test about stats, A/B testing... Reasonable questions.
3 main questions: 1. write an algorithm to generate the probability of obtaining a random number based on a prior discrete distribution. Was asked all the relevant probability theory questions where applicable. asked to solve with and without using numpy library functions. 2. pick any ML algo of my choice and explain it at depth - decision trees in my case - how I have deployed it in a project before - covered all the conceptual details. 3. write SQL queries to offer discounts to customers that may not retain a premium subscription service - how would you determine who will/will not be a recurring customer?
The old test that i did had a time series based ml problem that needed to be solved.
Que vous a apporté votre dernière expérience professionelle.
you fear about which animal?
What are key LLM parameters ?
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