I interviewed with the Alexa team in Cambridge, MA for the data scientist role. I applied through referral. Got a call within few days. Set up the interview with one Machine Learning Engineer and other junior person
Preguntas de entrevista [1]
Pregunta 1
Q. Tell me about a time when you were short on deadline and how did you handle it?
Q. Write a Python code to return the count of words in a string
Q. What is cross validation
Q. Tell me about your favorite algorithm
There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.
First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical