First stage was a very brief phone screen. I was asked a couple of logic/probability questions and shortly after I was told I would be given the opportunity to go to Boston for an on-site interview. The first interview was a quasi-case; it was mostly mental math, and the interviewer was able to offer some quick helping points when I got stuck. The second interview was a behavioral interview where I was asked about my resume and other experiences. Neither lasted too long, and afterward I went to lunch with a current employee. Everybody was very friendly and the interview seemed to go well. I was told that I would hear back in a short time frame about next steps, and it all seemed positive. That short time frame expired, and I did not hear back for awhile. I finally got a call back saying that my candidacy was no longer being pursued. I was told that there were no major red flags and the interviewers enjoyed my presence, but I was not hired because I was too slow. Although my memory may be fuzzy about other details, I clearly remember never being told that I was being timed. If a company is not going to hire me based solely on how fast I am in the case, I would at least expect to be told that time is a factor. Otherwise I will take my time and double/triple check my mental calculations.

4 rounds of interviews. HR: Standard HR phone screening asking about your experience, why draftkings, etc. Case Study 1: over the phone case study asking to calculated the expected value of tickets based on various situations. First is to calculated EV of tickets for an online sale vs buying from third party person at the stadium with a 20% chance of ticket being fake. Additional calculations are needed further into the question as other complexities are added, like if there is a raffle paying out $20k with a 1% chance of winning, what is the EV, and which option has the highest EV? Behavioral: 30 minute video behavioral round asking about how you dealt with various situations. pretty standard Case Study 2: Consulting style case study with an analytics twist that asks you to draw visualizations that would support your theories for why the customers are dissatisfied with the hypothetical train service. You are given information about the entire setup of the train system and asked to formulate possibilities for why customers are dissatisfied, draw graphs of data that is available that would prove or disprove if these theories are correct, and then come up with solutions to a chosen problem.