After a first call with recruiter with behavioural questions, another call with data science team asking, again, behavioural questions about possible situations, then project presentation with a data scientist and the chief of data science. First two calls were chill, even though it looked like the recruiter wasn't really caring much. Salary levels are way lower than expected. Finally, after spending 3+ hours interviewing, I got a standardized "Thanks for your interest" email. Asked for feedback, got ghosted. This company is submerged by red flags.

1. First round is full of situational and behavioral questions like, 'Tell me the time when....' 2. Second round is a presentation round on a project of our choice. The interviewers ask a few project related questions in between 3. Third round is again behavioral The whole process is filled with red flags. This is probably the only company that asks almost no technical questions for a technical role. Other reasons were: 1. There isn't a clear and a strong reason why the company would want to hire candidates from overseas and also provide relocation+visa assistance, when it can get pretty much all talents locally without the need for relocation or visa processes. This is a problem as there have been instances where a company manages to pay less when hiring from lesser developed countries. 2. Technical rounds are a joke. The questions were very non-technical and felt like storytelling rather than testing a candidate on the fundamentals of AI. 3. No rounds that tested a candidate's ability to code, knowledge on data structures and algorithms, analytical thinking, math/stat skills, system design etc. which are crucial for a data scientist. All these made me question the maturity of the so called data science team. 4. They rejected me saying that some other candidate scored slightly more points on cross-departmental collaboration. (like seriously?) If this is the reason for rejection, its better to be rejected from this company. But I'm sure this reason is just a patch up for something else.