American Airlines Data Scientist interviews, decoded.

I applied online and the whole process, which kicked off in mid-January, took just over a month. First, I chatted with the team manager for what was mostly a behavioral chat. Then, I had a round with some basic Python coding questions, a medium-to-hard SQL problem, and a few basic ML and stats questions. After that, there was an onsite where I talked with two other people about business case scenarios. They made an offer about three weeks after our last conversation.

For experienced candidates, there were three rounds of interviews. The first round focused on technical questions, including actual SQL and Python problems. The subsequent rounds consisted of behavioral questions, which also touched upon company and industry knowledge.

The interview began with questions about machine learning concepts like logistic regression and PCA. Then, we moved on to data visualization, covering Seaborn and Matplotlib, and I was asked to do a demonstration on a provided dataset.