The Harsh Reality of The Data Scientist Job
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- Опубліковано 6 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.
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.
As a data scientist working as a technical data analyst I can confirm that it is indeed quite frustrating
how about fp&a + data role? more potential?
6:05 is the best advice. The video should have started at 6:05 and ended where it ended
Uhmm now i,m confused 😔😔
love your videos!
Thank you!!
you forget the Six(6) reason.... Ai LLM Data Analisys