Airbnb Data Science interview questions

I applied for the analytics DS position. - Initial call with HR - Takehome test - On-site presentation - Multiple on-site interviews The process is very vigorous and quite energy draining; I was super glad when it was over as it took a lot of my time and effort. Proceed if you're willing to give this your full 100%, otherwise you'll probably won't make it. The take home assignment can take a full 2-3 days depending on how committed you are and your willingness to explore the entire dataset. You'll be using a good chunk of your data slicing and dicing skills + your analytical skills. The point of this assignment is to see if your thought process aligns with what Airbnb is looking for. The on-site presentation consists of your take home and a project you'd like to share from your previous work. The audience consisted of a bunch of data science managers. Beyond the presentation, I had 5 interviews (2 culture fit, 2 with data science managers, 1 technical, and a casual lunch). The two interviews with data science managers were similar to the "technical" interview I had; metrics creation, hypothesis testing, etc. Culture fit interviews are self explanatory.

I had experience similar to some folks commenting here. After a phone screen with their recruiter, I got a take home for me to do in 2 days. It wasn't an easy one. Sorting out the data is ok, but it takes some time to knit your story out and put your insights on the slides in an organized way. Honestly, I liked their data set and put countless efforts on this exercise. However, once I turned in my work I was told game over and I got zero feedbacks from the recruiter. Not a word. I was really upset because I spent two days working on their stuff and they won't spend 10 mins on me. I know now with the buzz of this company a lot of people want to join them. But for anyone who is considering going through their interviews, I sincerely suggest you think twice because they won't respect you as you deserve. You might spend tons of time on them and end up with mysterious doubt for yourself. I'm a seasoned data scientist and I used to think take-homes are useful ways to assess the capability of an excellent data scientist, but now with this unpleasant experience I just think it can only distinguish if you have cheated with their internal employees and got the solutions.