Data Scientist applicants have rated the interview process at Xometry with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 34.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 5 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Xometry overall takes an average of 23 days.
Common stages of the interview process at Xometry as a Data Scientist according to 3 Glassdoor interviews include:
One on one interview: 25%
Phone interview: 25%
Drug test: 13%
Group panel interview: 13%
Skills test: 13%
Presentation: 13%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Xometry (New York, NY) in Oct 2021
Interview
The interviewer sent me an email 1 minute after the starting time stating that they would be 5 minutes late. I waited 25 minutes until finally they sent me another email saying they needed to reschedule.
I declined the invite. I will not consider working for a company that does not respect an applicant's time. Respect goes both ways.
2
Other Data Scientist Interview Reviews for Xometry
I applied online. The process took 5 days. I interviewed at Xometry (Washington, DC) in Jul 2021
Interview
second interview was a pretty intense mathstats interrogation; interviewer went 30 minutes over allotted time. Way more in-depth questions than any other interview I've ever had. Felt like I was interviewing for an actuarial position.
Interview questions [1]
Question 1
a Bayes question (for p a|b, using p b|a and p a).
I applied through other source. I interviewed at Xometry in Mar 2021
Interview
HR screen and then Hiring Manager initial interviewed about 45 mins over zoom, when passed they invited to a Team interview about 3 hours virtually. Overall is technique heavy interview.
Interview questions [1]
Question 1
Statistics, probability, derivative, model design, behavior questions