Difficulty
Average
Candidate-reported interview insights
Amazon Lab126 Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Amazon Lab126.
3.2 rating Consumer Product Manufacturing
Interview overview
Average rounds
3.1
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy27.3%
average63.6%
difficult9.1%
Candidate experience
positive54.5%
neutral36.4%
negative9.1%
Candidate-reported interview process
Applied through the job portal and had a 1-hour phone call interview focused on signal/audio processing. It covered basic DSP concepts like upsampling and downsampling, as well as coding questions related to complexity analysis.
There were 2 technical phone interviews for the internship, each an hour long. They covered basic data structures and algorithms, and general resume points like your projects and internships. One interviewer was from the team and asked more specific questions about that team.
It was one phone screen and then 2 technical rounds. They asked simple algorithms questions and also about my past experience. The coding questions were done on the Amazon interview portal and mostly focused on arrays and trees.
Common Amazon Lab126 Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
Can you give an example of a time when you have to dive deep into a specific problem?
- 2
What is the biggest challenge in your work and how did you overcome it?
- 3
Tell me a time your project didn't turn out as expected.
- 4
How do you manage relationships with your supervisor?
Interview question formats
Coding31.2%
Technical28.1%
Behavioral25%
Presentation9.4%
Case3.1%
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Interview information is based on candidate reports and may not represent the current official hiring process of Amazon Lab126.