The Harsh Reality of The Data Scientist Job
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- Опубліковано 9 гру 2024
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Today we're going to cover the 5 best reasons why you shouldn't become a data scientist. This role is amazing and incredibly popular, but it's not for everyone.
Let's clear up the confusion.
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Lack of job definition + high expectations can be very stressful. Most companies / managers forget about the 'science' part and think data science is a magic money machine. You are also expected to be an expert in 25 different technologies while your manager just flips emails and copy pastes stuff into powerpoint.
As a data scientist working as a technical data analyst I can confirm that it is indeed quite frustrating
In india, now there is no job in this field currently .Every job require 2 year experience
Many Companies outsourced some of the work to India companies and actively hiring from them for the most qualifying candidates. Though we had a lot of candidates, some of them lied way too much on their CV where they attempt to apply for a senior developer/data scientist contractor position with their "8 years" of technical experience. When comes to the technical interview, they can't even get past question 1 in 30 min, while for someone who is truly experienced should be able to complete question 1 within 5 min. So that "8 years" of experience was merely "8 days" of watching youtube tutorial on how to be a developer/data scientist.
6:05 is the best advice. The video should have started at 6:05 and ended where it ended
how about fp&a + data role? more potential?
Uhmm now i,m confused 😔😔
love your videos!
Thank you!!
you forget the Six(6) reason.... Ai LLM Data Analisys