I applied online. The process took 4 months. I interviewed at IBM in Jan 2018
Interview
You must go through the hirevue type process where you sit down in front of a screen and answer pre-recorded questions. I think there were 10-12 questions. The first half was behavioral. The second half was technical. If you are applying as a data scientist, you must brush up on your Python and statistics.
Interview questions [1]
Question 1
1) Define a confidence interval?
2) Explain the importance of a p-value?
3) What languages are you familiar with? (python, java, etc)
4) What's the difference between Supervised vs. Unsupervised machine learning?
5) What is precision? What is specificity? What is sensitivity/recall?
There are also two python challenges you will have to complete afterward. Each is about an hour long:
1) Given a subset of daily sales and sellers, find the subset that identifies those with the highest daily sales average.
2) I forget the second question, but it's very similar.
I applied online. I interviewed at IBM (Strasbourg)
Interview
1er entretien RH assez concis avec une présentation rapide de mon parcours
2nd entretien technique avec Manager des équipes data de Lille et Strasbourg : présentation de mon parcours puis question sur une problématique donnée (liée au domaine bancaire)
3eme entretien technique ; présentation et question autour de l'IA générative
Interview questions [1]
Question 1
Quelles sont les métriques pour jauger les performances d'un LLM ?
"The company provided a fixed interview slot without any room for flexibility. As soon as I responded to ask if we could reschedule for a different date and time, the system automatically triggered a rejection email. It seems their automated process drops candidates who cannot make the initial slot.
Quiet straight forward, but unfortunately got rejected even afer passing all unit tests with same old saying that other candidates are better aligned at the moment for this specific role demands.
