- Charging Data and Modeling Team
- 3 rounds in the interview process
- behavioral; take home challenge; interview about take home challenge
-interviewers were generally nice; interviewed with two data scientist on team for final round
Interview questions [1]
Question 1
Q: What is one project or experience you are proud of?
In the first half, we discussed my background, starting with a walkthrough of my resume. My interviewer was particularly interested in my internship project at Samsung, so I spent most of the time discussing it. It was a computer vision project, so he asked some technical questions about how I implemented it.
In the second half, I did a case study. He presented a hypothetical situation where I was trying to build a customer prediction model. Given only this scenario, he asked how I would approach it. I explained what data I would collect and how I would design and train the model. He then provided feedback and questions; based on this, we discussed refining the model.
Interview questions [1]
Question 1
He presented a hypothetical situation where I was trying to build a customer prediction model. Given only this scenario, he asked how I would approach it.
- tell me about yourself
- tell me about the projects you have worked on
- how comfortable are you with sql and python
- why do you want to work here
- other basic statistics questions
overall pretty basic questions, but also dependent on the team
I was first asked a few questions from my resume, projects and experiences. All of these were technical. Moving on, I was asked some technical questions based on the requirements mentioned in the job description.
