I applied online. The process took 3 months. I interviewed at DataRobot in Nov 2019
Interview
Multiple rounds with individuals in the same team and one presentation to panel. Hiring manager and HR interviews on either side of this process. Individual interviews focus on different aspects of the job. Very long process that stretched over 3 months.
Interview questions [1]
Question 1
Difference between boosting and bagging algorithms
I applied through a recruiter. The process took 5 months. I interviewed at DataRobot (Dubai)
Interview
5 rounds some technical questions mostly questions about prior experience and asked to deliver a presentation about previously delivered project
No coding take home assignment, no leetcode, no real hard DS grilling questions more trying to gauge your ability to explain technical concepts both to technical and non technical audience members
Interview questions [1]
Question 1
Could you present to us something you've previously worked on
The process included several rounds of talking with first a recruiter, then members of the team I was joining. It culminated with a presentation interview to two current employees posing as customers
I applied through a recruiter. The process took 3 weeks. I interviewed at DataRobot (Washington, DC) in Nov 2021
Interview
Approximately 5 technical (virtual) interviews and 1 behavioral. The technical interviews were highly repetitive in asking about the same supervised machine learning algorithms, pros/cons, and troubleshooting steps. Felt like there was no continuity between interviewers. Technical interviewers were adequate (but not excellent) technical communicators, but they were looking for very specific answers. Once I hit some arbitrary threshold of answering a question correctly, they'd interrupt and fire off the next question.
Interview questions [1]
Question 1
Name common preprocessing (cleaning) steps for a supervised machine learning model.
How would you deal with severe class imbalance while developing an ensemble model?