Glassdoor users rated their interview experience at Sentiance as 100% positive with a difficulty rating score of 3.5 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for IOS Developer and Machine Learning Engineer rated their interviews as the hardest, whereas interviews for IOS Developer and Machine Learning Engineer roles were rated as the easiest.
The hiring process at Sentiance takes an average of 17 days when considering 2 user submitted interviews across all job titles. To compare, the average duration of hiring at similar companies like BlackRock, Inc. is 14 days, Fabricated Software, Inc. is 2 days, and Apple Inc. is 21 days. Candidates applying for IOS Developer had the quickest hiring process (on average 12 days), whereas Machine Learning Engineer roles had the slowest hiring process (on average 21 days).
I applied online. The process took 3 weeks. I interviewed at Sentiance in May 2021
Interview
The process only took 3 weeks including a people interview, technical assignment, and technical review of the assignment. The technical assignment was well thought out and challenging at the same time
I applied online. The process took 3 weeks. I interviewed at Sentiance in Aug 2020
Interview
Initial phone screen with talent team with scripted question followed by technical assignment, technical interview and then a job offer. The process was defined. Only draw back, i was in est where as the interviewers were sitting in Belgium so had to give the interview at 6 in the morning.
I applied through a staffing agency. I interviewed at Sentiance (Toronto, ON) in Jul 2020
Interview
I was contacted by an international recruiter from Talent seed and had the initial technical screening call with her. I was then sent a take home technical test that was supposed to be done in 4/5 days! In the test, they had asked to write '' production-ready code using OOP" with unit test, comments and "documentation strings for all methods" with instructions to run the code ("Provide us with the instructions needed to run your code (e.g. requirements.txt, setup.py). Ideally, a simple virtualenv build and a pip install will do the trick")!
It seemed to me extremely unusual to ask for "production-ready code" for data scientist! interview test and seemed to me that they were looking for someone to do their projects for free! I declined to do the test.