A conversation where you talk about a past project/problem and the method you used to solve it. You are expected to talk about the machine learning model you used, how did you select features, data cleaning ...
Étude de cas sur temps perso (dataset et jupyter notebook) puis entretien de présentation en visioconférence. Recommandaient 4 heures pour faire l’étude de cas, mais cela m’a paru insuffisant, puisqu’il fallait traiter les données puis rechercher des comportements de consommation.
Interview questions [1]
Question 1
Qu’est-ce que c’est que le precision et le recall.
Interview process was lengthy and took a lot of time and effort to go through all 4 rounds of interview.
First screening then first interview was theory based then a take home case study then a follow up interview that lasted an hour, it was supposed to be about the case study. However, the interviewer improvised and took the whole hour to ask about data science concepts ( it felt like an extension to the first technical interview).
lastly, there was the final round which was with the CEO.
Interview questions [1]
Question 1
supervised and unsupervised learning and deep dive into NLP.
