Generally speaking it is messy and unorganised process, and they come across very arrogant as they think they can be because they pay well. The position is more of pre-sales or sales position rather than actual data science role. I have been through 4 stages:
1st HR screening
2nd Technical Interview with a CFDS
3rd Technical Interview with a CFDS
4th Presentation with Hiring Manager and Sales Team
The sales member arrived 20min late for a 45min interview and left after 15min. They initial feedback was positive and they asked for my availability to do the last stage conversation prior to offer. After I haven't hear back for a few days about the final interview, they got back to me with a general rejection email without any reason and feedback.
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?
Customer Facing Data Scientist applicants have rated the interview process at DataRobot with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 43.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Customer Facing Data Scientist roles take an average of 55 days to get hired, when considering 15 user submitted interviews for this role. To compare, the hiring process at DataRobot overall takes an average of 32 days.
Common stages of the interview process at DataRobot as a Customer Facing Data Scientist according to 15 Glassdoor interviews include:
Phone interview: 35%
One on one interview: 18%
Presentation: 15%
Group panel interview: 12%
Skills test: 12%
Personality test: 3%
Background check: 3%
Other: 3%
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