I applied online. The process took 2 weeks. I interviewed at Amazon Web Services (London, England) in May 2022
Interview
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.
Interview questions [2]
Question 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.
I applied online. The process took 3 months. I interviewed at Amazon Web Services in Nov 2023
Interview
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.
Interview questions [1]
Question 1
Tell me about the experience that represents your customer obsession
