It was quite a lengthy process but overall very positive and pleasant! The sequence of interviews was as follows: recruiter call, call with Deployment Strategist, 3 interviews with Deployment Strategists onsite, a final call with a Hiring Manager. The initial call with the recruiter gauged interest for the position and Palantir, and asked about some technical/data-centric projects I'd worked on. I was quickly scheduled for a follow-up call with a DS over Zoom. It lasted about 45 min, and the type of questions were about interest in Palantir, why I wanted to leave my current job, personal interests/passions, and more broadly interest in tech/data. A week went by without hearing back so I emailed them and they immediately responded saying they'd like to schedule me for an onsite visit. It consisted of 3 back-to-back interviews with DS and a lunch/presentation about the company. Two of the interviews were a mix of a decomp problem and behavioral, and one was fully behavioral. It was a very fun day - the interviewers were very friendly and interesting, and I had fun talking to them about my work/their work/the hypothetical deployment scenarios I had to work through. Two days later I heard back that they wanted to schedule me for a final interview with a Hiring Manager, which took place a couple of days after that, and I promptly heard back that I'd be getting an offer. My advice to anyone interested in this position (at least those not fresh out of college, I can't speak for soon-to-be/recent grads) is to forget about worrying about brainteasers or questions of that type, and instead spend a lot of time researching Palantir, their values, their product, and thinking about whether you really are passionate about working for them. If so - let it show! Don't underestimate the importance of more behavioral-type questions in favor of technical ones. Aside from specifically researching Palantir, I spent a lot of time reading articles/blog posts about data science and interesting/innovative ways in which companies use their data. And of course, spend time thinking about your past experiences and how they can showcase your leadership, tenacity, teamwork skills, etc.

They really want to get to know you throughout the process, and see how you think about data in different ways and how you solve problems. You have to build a product which takes a long time.