J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez MITRE (McLean, VA) en janv. 2020
Entretien
I applied via the MITRE website after being encouraged by a professor at GMU. I was quickly contacted by the sourcing manager. The first conversation was a 30 minute phone screen. Then, I attended an in-person panel interview with 4 people: two sourcing managers, lead and the director.
Questions d'entretien [2]
Question 1
Talk about a specific experience from your resume - how did you implement the project what were the difficulties?
Note: in this particular panel format, the lead was the decision maker on hire/no-hire, and this was not obvious during the interview. He barely spoke and relied on his boss and the others to ask questions. I would recommend thinking carefully about the roles and folks in the room and strategizing accordingly.
J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez MITRE
Entretien
Had an initial webcam interview and then lengthy in-person, 2.5 hour panel interview with 6 plus people. Got asked a lot of questions about my data science experience, how I could help the company. Was told by the recruiter that they wanted to extend me an offer but were working on getting funding.
Recruiter kept ducking my calls and messages for almost three weeks after that, I had to call the main office to get a hold of him and they finally said they decided not to fund the position.
Really a waste of everyone's time.
Questions d'entretien [1]
Question 1
Describe the difference between data science, analyst and engineer.
One round with my group leader over a phone call. Second with my department head talking about past project experience over a zoom call. It was a Not technical interview. If you already have the background it would not be super difficult if you’ve worked in the space or through curriculum.
J'ai postulé en ligne. J'ai passé un entretien chez MITRE
Entretien
Asked about my past projects on data science and the process. The process included ML models, cleaning and Explanatory data analysis. They seemed to be looking for something in particular in terms of subject matter.
Questions d'entretien [1]
Question 1
Q: What is supervised learning? And give an example.