Amazon·Data Scientist·Onsite - Behavioral / Leadership
May 2026
Behavioral loop for a Data Scientist role at Amazon, heavily focused on leadership principles and team dynamics. Every question tied back to collaboration, scope, or customer obsession in some way. Felt more like a project retrospective than a traditional interview.
- Tell me about a time you disagreed with a teammate. What was the conflict and how did you resolve it?
- Describe a situation where you delivered work that went beyond the original project scope. Why did you do it and what happened?
- Walk me through a time you had to deliver under serious time pressure. How did you figure out what to prioritize and how did you execute?
- Can you give an example of a project where you invented or simplified something? What unexpected insight did it surface for the customer?
- For that same project, how many people were involved and what were everyone's roles?
- How did you gather useful feedback from the customer and actually incorporate it into later iterations of the work?
“I went with a story about a modeling approach disagreement, where I thought we were overcomplicating the feature engineering and my teammate disagreed.” The rest of the author's notes on Data Scientist interview at Amazon, Onsite - Behavioral / Leadership round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
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