Initial phone screen with someone from HR where they ask you about your previous experience etc. Another call with someone from one of the many data science teams where he/she goes in to more detail about your previous work. Will ask about a project that you have worked on, what tools and methodologies you used. Will also ask what you would change/add to it. If that interview goes well, you will be asked to do an onsite interview. Before the interview you will be given a dataset and asked to do some predictive things with it as well as make a presentation for "management" presenting your findings. If possible, schedule the assessment a week or so before your actual interview so that you have time to carefully craft your presentation. You only have 4 hours to do the assessment, so make sure you use your time prudently. Be sure to knock your presentation out of the park, it is the first thing that you will present in the interview. For the onsite interview right outside of Charlotte, you are greeted by HR and given a tour of the campus (its awesome). Then you are taken to a room which essentially serves as a home base for the day. From there, you are run through a gamut of members of the data science teams, all of which were very friendly. They want you to succeed and explain why you did things the way you did. Part of those interviews is a code review of your assessment from earlier. They treat you to an on campus lunch break with some coworkers. Throughout all of the interviews, ASK THOUGHTFUL/INSIGHTFUL questions that show you're enthusiastic about the work you will be doing. You finish up the day with a chat with an upper manager from HR that asks a bit more behavioral questions. Do not make the mistake that I made and schedule your assessment for the day before the interview. I did not leave myself enough time to make a good presentation and fully explore the dataset. I ended up being sleep deprived from staying up the night before preparing my presentation, which certainly hurt my energy/enthusiasm levels.