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.
Interview questions [1]
Question 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.
I applied online. The process took 4 weeks. I interviewed at Datadog (Paris) in Mar 2025
Interview
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
Interview questions [1]
Question 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.
Interview questions [1]
Question 1
Write a python function that count frequency bucket
