Which one among the following companies is the most stressful for a data scientist / machine learning person? By these roles I mean someone who builds ML models, analyzes experiments and the alikes (not ML eng). I know that it might vary a lot from team to team, and role to role (e.g. Data Scientist, Product to Core Data Scientist at Facebook) but I’m just tryingto get a sense here.
Yes, two of them. Though I don’t work at Oath either now
World Conflicts
6h
503
Screw it. Don't care anymore. Let Israel take it. One state solution.
Tech Industry
21h
1624
Metamate- cringe max posts by this wannabe influencer
Ask Blinders
21h
968
Why no one cares about the lives lost in Gaza, Israel and busy in their own lives?
2024 Presidential Election
12h
230
Crime is down
Tech Industry
3h
4695
China CYBERATTACK on UK ? WTF
I guess we need to define two terms here - complex and complicated. A complex problem is one which can be broken down into much simpler subproblems and be analyzed individually yielding same result. Complicated is a problem where there are so many hidden moving pieces, so many side effects, you need to look at it from a holistic point of view with possibly uncorrelqted data. I would say either Facebook or Netflix. They are the kings of A/B tests. So many of them going on at the same time, it’s sometimes stressful as you need to infer from what are probably conflated results. And room for error decreases as you fail. Amazon the other hand has a lot of things that are isolated. Complex yes, complicated no.
Have you ever worked at: 1. Amazon 2. Netflix 3. Facebook?