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%
Skills test: 12%
Group panel interview: 12%
Personality test: 3%
Other: 3%
Background check: 3%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 6 weeks. I interviewed at DataRobot in Jul 2018
Interview
The process took six video interviews. One of the interviews included an interactive programming task which was a very basic regression task (10 minutes).
Most of the interviews were unstructured, with loose conversation around my experience and my life.
They didn't ask about data structures or cs algorithms, nor did they ask about particular machine learning techniques. They mostly wanted to talk about my modeling experience and exposure to machine learning and which algorithms I used and for what purposes.
Interview questions [1]
Question 1
Given a CSV file with some data, build a classifier that uses linear regression and provide its RMS.
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?