The interview was for the inference data science group. I'm a candidate with ~15 years of experience in statistics and data science, with a quantitative Ph.D. I was asked to complete a data challenge, which is not unusual among DS jobs, but was not appropriate for my level of experience and demonstrated ability as a coder and researcher. With a family and many personal responsibilities, doing free work in the form of a data challenge -- rather than showcasing a real-world project I've done in the past -- was (in my opinion) not a good use of my time, and not a good way to screen for this position. I did the data challenge, got asked to proceed to the next step, and then declined. I decided it was not a place I wanted to work if this was the way senior and experienced candidates were being screened (as though I was a new undergrad with an unproven track record of past code and work).