Amazon Data Scientist interview questions combine Amazon's interview process with the Data Scientist-specific skills interviewers probe. This guide covers the Amazon Data Scientist process, the technical and behavioral questions to expect, and how to prepare for 2026.
Key Takeaways
- A Amazon Data Scientist interview tests Statistics & probability, Machine learning, SQL & Python.
- Amazon's loop has 5 stages and is rated <strong>High</strong> difficulty.
- Expect Data Scientist-specific technical questions plus Amazon's behavioral rounds.
- See the full <a href="/blog/amazon-interview-questions">Amazon interview guide</a> and <a href="/blog/data-scientist-interview-questions">Data Scientist interview guide</a> for depth.
The Amazon Interview Process
- Online assessment (2 coding + work simulation)
- Phone screen
- Virtual onsite: 4-5 rounds
- Bar Raiser round
- Each round maps to Leadership Principles
Data Scientist Skills Amazon Looks For
| Area | Detail |
|---|---|
| Amazon focus | 16 Leadership Principles, Data structures & algorithms, Object-oriented design, Behavioral (STAR) depth, Ownership & Customer Obsession |
| Data Scientist core skills | Statistics & probability, Machine learning, SQL & Python, Experimentation (A/B testing), Product/business sense |
| Key topics | Hypothesis testing & p-values, Bias-variance trade-off, Regression & classification, A/B test design, Feature engineering |
Amazon Data Scientist Technical Interview Questions
Expect Data Scientist-focused technical questions such as:
- Explain the bias-variance trade-off
- Design an A/B test and analyze results
- Write SQL to compute retention
- How would you handle imbalanced classes?
- Explain precision, recall, and ROC-AUC
- Estimate the effect of a product change
Amazon also emphasizes 16 Leadership Principles and Data structures & algorithms, so be ready for questions like:
- Two sum and its follow-ups
- Copy a list with random pointers
- Design an in-memory key-value store
Amazon Behavioral Questions
- Tell me about a time you disagreed and committed
- Describe when you dove deep to solve a problem
- Give an example of Customer Obsession
- Tell me about a time you took ownership beyond your role
How to Prepare for the Amazon Data Scientist Interview
- Solidify statistics and experimentation
- Practice SQL and case studies
- Be able to explain models simply
- Prepare 2 STAR stories per Leadership Principle
Related Guides
- Company depth: <a href="/blog/amazon-interview-questions">Amazon interview questions</a>.
- Role depth: <a href="/blog/data-scientist-interview-questions">Data Scientist interview questions</a>.
- Browse all in the <a href="/blog/category/interview-questions">interview questions hub</a>.
Ace Your Amazon Data Scientist Interview
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Frequently Asked Questions
A Amazon Data Scientist interview follows Amazon's 5-stage process and tests Statistics & probability, Machine learning, SQL & Python through role-specific technical questions plus Amazon's behavioral rounds.
It is rated High difficulty. You will face Data Scientist-specific technical questions alongside Amazon's emphasis on 16 Leadership Principles and Data structures & algorithms.
Prepare Statistics & probability, Machine learning, SQL & Python, practice the technical questions in this guide, and get ready for Amazon's behavioral rounds. See the full Amazon and Data Scientist guides for depth.
Yes. GhOst provides real-time, role-specific answers for coding, system design, and behavioral questions and stays invisible to screen share and proctoring on Windows and macOS.
