>>12295104>le overpaid data scientist memeOK, lemme break it down for you:
>"data engineer"The AWS nigger who was not good enough to get a DBA job.
Pros:
Nobody wants to know what you are doing, if it werks it can be comfy.
Cons:
Peolpe won‘t care about the details when it fails. You will get flak if it fails, no matter if it’s your fault or not.
>"data analyst"The number nigger.
In the job description it lists half a dozen exotic technologies, in reality it‘s mostly being the excel bitch for MGMT.
Pros:
If you deliver you can use what technologies you want, st least if you put it in excel eventually.
You are technically capable (unlike the „scientist“), but you can still blabla your way out of many situations (unlike the data engineer).
Comfy middle ground.
Cons:
The „data scientists“ will get the credibility and more money than you.
>"data scientist“Studied math and/or had good grades at university. Practically helpless when it comes to coding and socially awkward. Yet the company will throw with money because the other professions aren’t brainy enough to come up with an elaborated statistical model.
Pros:
You will be treated like an idiot savant: MGMT will know that you are capable and even if they look down on your autistic behavior, you‘ll be golden as long as you know your place and don’t think that they take you seriously when you are talking about non-autism topics.
Cons:
Great money comes with great expectations. If you fail to make the data analysts to bring you good results or someone finally realizes that you use the same boring model every fucking time, you will get kicked. Not so comfy, but well payed.
