Applied online, followed by a recruiter screening call. Advanced to technical interview over Zoom with two data scientists that tested SQL knowledge and hypothesis testing skills. Results were communicated quickly within days.
Domande di colloquio [1]
Domanda 1
How would you conduct a hypothesis test to see if there is a difference?
Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Lyra Health nel mese di set 2022
Colloquio
1ST ROUND with senior ds or de - 60 min technical interview split as 30 min of technical questions and 30 min of coding including SQL and Python
2ND ROUND: 3 interview-loop. 2 interviews were behavioral with crossfunctional teammembers (product, ux) and the 3rd is a case study presentation to a panel of 6 DS/science managers for the purpose of team matching alignment
FINAL ROUND: behavioral/career with director of data
Domande di colloquio [1]
Domanda 1
How did you collaborate with someone in your team? How did you collaborate with someone outside of your direct team? Tell me about a time you failed.
Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Lyra Health (Burlingame, CA) nel mese di giu 2019
Colloquio
— Phone screen with recruiter
— Phone screen with hiring manager
— Take-home assessment
— On-site interview
For the onsite, the interviews were broken down into the following sections:
— Product case question with PMs
— Technical case question with Engineering Lead (stats, whiteboarding, coding, etc.)
— SQL workshop (more whiteboarding, how would I answer the following questions given the following schema, table design, etc.)
— Take-home assessment presentation
— One-on-one with hiring manager
It was a lot for an interview process and I was pretty tired by the time we got to the presentation portion. I'm very happy I did it though, great learning for me.
Domande di colloquio [1]
Domanda 1
I don't quite remember the questions, but one of them was around how I would approach filtering out 'bullying' words in Tweets and how I would assess the filter (i.e., identifying false-positives).
