J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Health Catalyst
Entretien
I had an initial phone call with a recruiter followed by a take home data science test. After that there were multiple phone interviews before they call for an onsite interview. Most of the interviews were technical and one focused on behavioral questions. The whole process took about 4 weeks.
Questions d'entretien [1]
Question 1
Most of the questions technical questions were related to supervised learning.
J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Health Catalyst en juil. 2019
Entretien
Applied through indeed. Received a mail from HR to answer 2 general questions based on experience. Then received a coding assignment the following week. It was a simple classification problem. Had a telephonic interview with the hiring manager next week. It was basically experience-based and based on the previous coding round. Next step, a team video interview with about 6 other team members. Pretty much general questions with some basic technical questions. The video stream was not great as they had a technical glitch and I often had no idea who I was talking to or where the voice was coming from! But overall, a good experience and a great company with a great mission!
Questions d'entretien [1]
Question 1
If you were to post a job description for your mentor, how would it look?
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Health Catalyst en août 2018
Entretien
Applied online--submitted a résumé and cover letter. Received no confirmation, nor is there a log-on to check whether it was received, much less reviewed. I waited several weeks before hearing from HR. They sent a coding challenge, which they indicated I should allot two hours for.
This turned out to be easily the most inane coding challenge, in which I have ever taken part.
The code challenge, without revealing too many details, is the following. We are interested in predicting a given binary outcome. Here is a messy training set with a large number of records, and a huge number of possible explanatory variables, as well as, a similarly messy/large test set. Create a report of a given format which produces predictions for the test set, using the training set. Along the way, explain the decisions you made and why. You have two hours (stated several times throughout).
One assumes that coding challenges are designed to glean information about the candidate, and well-designed assignments reflect the information the employer wishes to infer. Given what little I saw, no one at Health Catalyst has taken the time to make any choices regarding the qualities they look for in a candidate.
Should a candidate be able to manipulate data at a large scale? Yes.
Should a candidate be able to communicate the rational for his or her decisions? Absolutely.
Is this the type of data that one would expect to encounter at Health Catalyst? I've no doubt.
Should a candidate be able to put his or her work in a presentable form? That's perfectly reasonable.
Should a candidate demonstrate his or her knowledge about code/statistics/machine learning? That is part of the job description--I don't see why not.
Should a candidate be able to accomplish all of the above in two hours time? Hold on--this is entirely unreasonable.
I accomplished what I could in slightly more than two hours (which I volunteered), and sent them what I had.
They ghosted.
Questions d'entretien [1]
Question 1
Do you have time to complete this coding challenge?