Applied online. Take home project. Skype video interview. They asked me some models I used before. Also, they asked some multiple testing problem and bootstrap techniques. Not very common questions but based on their level, these questions are reasonable. After all, quantitative researcher interviews are always hard.

My interview process started with a phone screening. The interviewer was another PhD in a similar area, and he asked some statistics and math questions. During the conversation, I got the impression that he did not particularly like the job himself, so I asked him about it directly. He said that the role was not very flexible, and that new hires were initially assigned to groups somewhat randomly. In his view, some people ended up in groups that were clearly not a good fit for them. The next day, I was invited to the first part of the virtual onsite, which consisted of two rounds: one in statistics and one in machine learning. The statistics round was conducted by a statistics PhD. The ML round was conducted by someone hired for a background similar to mine, so although he did not seem to know much more about the broader process, the conversation happened to align quite well with my own area.