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.
I applied online. The process took 2 months. I interviewed at MITRE
Interview
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.
Interview questions [1]
Question 1
Describe the difference between data science, analyst and engineer.
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.
Interview questions [1]
Question 1
Q: What is supervised learning? And give an example.
