J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Lyra Health en sept. 2022
Entretien moyen
Candidature
J'ai passé un entretien chez Lyra Health
Entretien
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.
Questions d'entretien [1]
Question 1
How would you conduct a hypothesis test to see if there is a difference?
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
Questions d'entretien [1]
Question 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.
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Lyra Health (Burlingame, CA) en juin 2019
Entretien
— 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.
Questions d'entretien [1]
Question 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).