Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Included Health nel mese di set 2019
Colloquio
I applied online. Recruiter contacted and we had a brief phone call. She was a nice person. The next one was a technical phone screening with a team member. He asked me some machine learning questions and we had about 20 min coding interview. Couple of days later recruiter contacted me and asked me to work on an assignment. I made a mistake and accepted to do. I spent a couple of hours working on it. In my opinion, it could be the best solution considering the time limit. I waited a week for the results. Nothing happened and after multiple follow up, she rejected without any reason.
Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Included Health
Colloquio
received an open ended data question with disparate data sets, previous screen said to focus on communication of ideas rather than stats, felt like i did a fairly decent job but was rejected with no feedback
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Included Health nel mese di dic 2020
Colloquio
Recruiter called first. Next step was technical interview including general ML question with a coding problem. Last step was interview with the hiring manager and talked about my last project details. All of the steps went well and I didn't miss a single question and challenge. Their current project was very aligned with my previous experiences and my skills. But I've got the rejection which disappointed me. I asked for any feedback and got nothing.
Domande di colloquio [1]
Domanda 1
General coding question along with basic ML questions.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Included Health
Colloquio
1 round of telephonic screen,
1 round of data science challenge, a good one, solved it and gave it them, Never heard from them back, probably they were scouting for solutions of their data science problems.
