How To Prepare For Data Scientist Interview At Amazon

TL;DR

You will likely fail the Amazon data scientist interview if you don't prepare for at least 30 days. The interview process consists of 4-5 rounds, with a base salary range of $118,000 - $170,000. Practice whiteboarding and review machine learning fundamentals.

Who This Is For

This guide is for experienced data analysts and scientists with 2-5 years of experience looking to transition to Amazon. According to Levels.fyi, the average Amazon data scientist salary is $141,000, with a signing bonus of $20,000.

What Is The Amazon Data Scientist Interview Process

The Amazon data scientist interview process typically takes 20-30 days, with 4-5 rounds of interviews. It starts with a phone screen, followed by a technical assessment, and then on-site interviews. Not having a strong understanding of machine learning concepts, but having a good grasp of data visualization tools, is not enough to pass.

How Long Does It Take To Prepare For The Amazon Data Scientist Interview

It takes at least 30 days to prepare for the Amazon data scientist interview, with a focus on machine learning, statistics, and data visualization. Not spending enough time on whiteboarding exercises, but focusing on memorizing concepts, will lead to failure. According to Glassdoor, the average time to prepare is 45 days.

What Are The Most Common Amazon Data Scientist Interview Questions

The most common interview questions are about machine learning, data visualization, and statistics, with a focus on practical applications. Not being able to explain complex concepts simply, but being able to write complex code, is a common mistake. Reviewing Amazon's official careers page and practicing with real-world examples is essential.

How To Improve Your Chances Of Passing The Amazon Data Scientist Interview

Improving your chances of passing requires practicing with real-world examples, whiteboarding, and reviewing machine learning fundamentals. Not having a strong portfolio, but having a good GPA, is not enough. Focus on showcasing your skills and experience, rather than just your education.

Preparation Checklist

  • Review machine learning fundamentals, including supervised and unsupervised learning
  • Practice whiteboarding exercises, using tools like LeetCode or HackerRank
  • Work through a structured preparation system, such as the PM Interview Playbook, which covers data science interview questions with real debrief examples
  • Build a strong portfolio, showcasing your skills and experience
  • Practice data visualization, using tools like Tableau or Power BI
  • Review Amazon's official careers page, and practice with real-world examples

Mistakes to Avoid

  • BAD: Focusing too much on memorizing concepts, rather than practicing with real-world examples. GOOD: Practicing with real-world examples, and focusing on practical applications. BAD: Not having a strong portfolio, but having a good GPA. GOOD: Showcasing your skills and experience, rather than just your education. BAD: Not practicing whiteboarding exercises, but being able to write complex code. GOOD: Practicing whiteboarding, and being able to explain complex concepts simply.

FAQ

Q: What is the average salary for a data scientist at Amazon?

The average salary is $141,000, with a signing bonus of $20,000.

Q: How many rounds of interviews are there for the Amazon data scientist position?

There are typically 4-5 rounds, including a phone screen and on-site interviews.

Q: How long does it take to prepare for the Amazon data scientist interview?

It takes at least 30 days, with a focus on machine learning, statistics, and data visualization.


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