Amazon | Applied Scientist I | United Kingdom

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Applied Scientist IUnited Kingdom
April 1, 20259 reads

Summary

I had a virtual onsite interview with Amazon for an Applied Scientist I position in the United Kingdom, which included a phone screen and a full loop covering ML, System Design, Coding, and Behavioral questions, and I received an offer.

Full Experience

Hi,

I had my virtual onsite with Amazon for an Applied Scientist I position in the United Kingdom.

Phone screen

Got the outcome in the afternoon.

Full loop

I scheduled the full loop 2 weeks after the phone screen.

Outcome: offer

Interview Questions (13)

Q1
Bias-Variance Tradeoff
Machine Learning

Explain bias-variance tradeoff.

Q2
Overfitting and Prevention
Machine Learning

What is overfitting and how to prevent it?

Q3
Derive Linear and Logistic Regression
Machine Learning

Derive the equation of linear regression and logistic regression with MAP.

Q4
Max Consecutive Ones II
Data Structures & AlgorithmsMedium

Standard LeetCode problem.

Q5
A/B Testing
System Design

How to perform A/B testing?

Q6
T-test
System Design

What is a t-test?

Q7
K-means Clustering
Machine Learning

How does k-means work, how do you choose the number of clusters and write a sketch of the algorithm?

Q8
Transformer for Text Data
Machine Learning

What is a transformer and why does it work well on text data?

Q9
Handling Imbalanced Data
Machine Learning

How do you deal with imbalanced data?

Q10
Dataset Size Impact
Machine Learning

What happens if you double the size of your dataset?

Q11
Next Greater Element I
Data Structures & Algorithms

Standard LeetCode problem.

Q12
Single Element in a Sorted Array (variation)
Data Structures & Algorithms

A variation of the standard LeetCode problem "Single Element in a Sorted Array".

Q13
Leadership Principles (LPs) Questions
Behavioral

Behavioral questions based on Amazon's Leadership Principles.

Preparation Tips

Leetcode questions solved: ≈300

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