Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Amazon Web Services (Londres, Inglaterra) en may 2022
Entrevista
Consisted of three rounds.
1. Online assessment: work simulation, amazon workstyles, working with customers simulation & work preferences & skills. Basic computer science questions related to computer networks, data analysis, cloud compute and migration.
2. Phone interview: questions based on a project and respective follow up questions. General data science and machine learning questions.
3. Loop interview: two technical and two managerial interviews with members of the professional services team and senior consultants respectively. One of the interviews consist of a presentation on a recent project undertaken.
Preguntas de entrevista [2]
Pregunta 1
Behavioural questions on the "tell me about a time.." kind of questions. (Search for amazon behavioural questions and prepare answers using STAR method for each amazon principle).
- Explain ETL and ELT (Asked twice in two separate interviews)
- Types of ensemble methods
- In depth explanation of bagging and boosting.
- Difference between SQL and NoSQL. Give one application for both.
- Types of regularization.
- What is the difference between deep learning and machine learning. State a scenario where deep learning is preferred.
- A/B testing.
- Hypothesis testing.
- When should a relational database be used?
- How to avoid overfitting and underfitting.
- Explain stratified and K-fold cross validation.
Me postulé en línea. El proceso tomó 3 meses. Acudí a una entrevista en Amazon Web Services en nov 2023
Entrevista
You have to be able to answer in the STAR format.
Last round was with two people at manager level, I think.
Before the last round, a recruiter reached out to me to remind me the leadership principles and give answers aligned with them.
Preguntas de entrevista [1]
Pregunta 1
Tell me about the experience that represents your customer obsession
