Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Datadog (Parigi) nel mese di set 2024
Colloquio
one technical assessment (hacker rank) then one Human Resources interview then one technical interview (hacker rank + project description) and one team match interview and machine learning technical questions all remotely
Domande di colloquio [1]
Domanda 1
Your memory is 16GB but you have a dataset file of 25GB, what do you do ?
The process started with an online application, followed by a short phone screen with HR. After that, I had a technical interview that focused on statistics, probability, and Python coding. The interviewers were professional and friendly. Overall, it was a straightforward process and gave me a good impression of the company.
Domande di colloquio [1]
Domanda 1
Q: Explain the difference between supervised and unsupervised learning.
How did you answer this question?
I explained that supervised learning uses labeled data to train models for prediction or classification, while unsupervised learning uses unlabeled data to find hidden structures such as clusters or patterns.
Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Datadog (Parigi) nel mese di mar 2025
Colloquio
1) Test hackkerrank assez facile
2) Entretien RH
3) Test Leetcode avec un Software Engineer de la boîte assez facile
4) Entretien avec l'équipe data science
5) Offre de stage
Domande di colloquio [1]
Domanda 1
2)Parler de ses expériences de stage, projets
3) Idem
4)Question de data science
The interview process consists of four rounds:
1. Technical Assessment (TA): A test to evaluate your technical knowledge and problem-solving skills.
2. Human Resources (HR) Round: Focused on your background, experiences, and motivations.
3. Live Coding (LC) Round: A hands-on coding session to assess your programming skills.
4. Technical Manager (TM) Round: A discussion with a manager to evaluate your technical expertise and team fit.
Domande di colloquio [1]
Domanda 1
Write a python function that count frequency bucket
