Amazon
Data Scientist
Practice for Data Scientist
Amazon
Recruiter Screening
30 minutesA straightforward call with a recruiter to discuss your background, skills, and motivation for applying to Amazon. The recruiter will also discuss the logistics and brief you about what the interview process will look like going forward .
5 minutesCan you tell me about a data project you worked on that made a significant impact?
5 minutesHow do you prioritize your tasks when working on multiple deadlines?
5 minutesWhat motivates you to work at Amazon?
All interviews are private and won't be shared with the recruiters.
Technical Skills Assessment
45 minutesThis round evaluates your technical skills and problem-solving abilities. It typically involves coding challenges, SQL queries, and machine learning questions, conducted via an interactive platform .
5 minutesWrite a SQL query to return, by month, the number of unique users, total transactions, and total order value for a given year.
5 minutesWrite a Python function to compute the standard deviation for each list in a dictionary, without using external libraries.
5 minutesExplain different JOINs in SQL and provide examples of when each would be used.
All interviews are private and won't be shared with the recruiters.
Amazon Leadership Principles Deep Dive
30 minutesThis round assesses your alignment with Amazon's Leadership Principles through behavioral questions focusing on past experiences and how they align with Amazon's core values .
5 minutesTell me about a time when you had to make a decision based on incomplete or ambiguous data. How did you approach the situation, and what was the outcome? (Leadership Principle: Are Right, A Lot)
5 minutesDescribe a challenging project you worked on where you had to collaborate with cross-functional teams. How did you ensure everyone felt valued and contributed meaningfully? (Leadership Principle: Earn Trust)
5 minutesTell me about a time you took a risk and it didn't pay off. How did you handle it? (Leadership Principle: Learn and Be Curious)
All interviews are private and won't be shared with the recruiters.
Data Science Depth Interview
30 minutesThis round is designed to see how you explain a past project. A recent data science hiring trend at Amazon is emphasizing explainability in answers, so be ready to discuss frameworks like SHAP, LIME, and what techniques you use to justify your model decisions at this stage in the interview .
5 minutesWalk me through a machine learning project you've worked on, focusing on the challenges you faced and how you overcame them.
5 minutesHow would you explain the concept of regularization to a non-technical stakeholder?
5 minutesDescribe a time when you had to present complex technical findings to a non-technical audience. How did you ensure they understood the key takeaways?
All interviews are private and won't be shared with the recruiters.