Amazon Data Scientist (Staff Level) Interview Preparation Guide
Data Scientist
Amazon
Staff
8 rounds
Updated 11/22/2025
Amazon's Data Scientist interview process is a comprehensive 4-6 week assessment combining recruiter screening, technical phone screens, and a full-day on-site loop. The process evaluates technical proficiency in SQL, Python, and machine learning, along with business acumen, statistical rigor, and alignment with Amazon's Leadership Principles. For Staff-level candidates, expectations emphasize deep expertise in data science systems, strategic impact, cross-functional influence, and the ability to own large-scale initiatives.
Interview Rounds
1
Recruiter Screening
25 min4 focus topicsbehavioral|culture fit
2
Technical Phone Screen - SQL & Coding
50 min4 focus topicstechnical
3
Technical Phone Screen - Case Study & Metrics
50 min5 focus topicscase study
4
On-site Interview - Coding & Data Structures
50 min4 focus topicstechnical
5
On-site Interview - Statistics & Probability
50 min5 focus topicstechnical
6
On-site Interview - Machine Learning Depth
50 min5 focus topicstechnical
7
On-site Interview - Business Impact & Strategy
50 min5 focus topicscase study
8
On-site Interview - Leadership, Behavioral & Cultural Alignment
50 min6 focus topicsbehavioral|culture fit
Additional Information