Pros
There are many weeks where you work around 5-10 hours doing easy and boring pandas work (chatGPT does it nowadays) and copy pasting results into gsheet. They give you a week to complete a task that takes literally 3 hours of focused work. No camera on zoom calls. Basically, travel where you want, no questions asked.
Cons
The pros listed above are actually cons when you realize they hurt your career more than you think so. It also affects the company's success which explains the reason why they are running towards bankruptcy and pretty much laid off every other US-based data scientist. Why? Labor is cheaper in India and one person over there can do the job of 3 US-based data scientists. No promotion over 4 years because the company was not performing at its expected capacity but they never tell you what are the expectations. There is literally no future as a data scientist, you are just dealing with big pharma companies telling you how to extract the data and what to look for. If they don't like the numbers you pull, they change the rules on how to extract the data and you just need to redo the whole analysis. This is the "science-first" company ladies and gentlemen.