Is It Hard To Get A Job As A Data Scientist

Another question recently posted on social networks. Below is my reply, with link to the original postal service.

The master reason is the exponential growth of information scientific discipline candidates, while the growth in job openings, even though exponential as well, is increasing at a lower footstep than the number of applicants. In some ways, this is similar to the explosion of PhD people, while the number of jobs for these people is shrinking. Ane would wonder: why and then many people want to get a PhD when task prospects are not, by far, what they used to be? I think the answer to that question also applies to data scientists; in that location are a few similarities:

Four years ago, when companies could not find whatever real data scientist, these companies — helped past academia and data camps — managed somehow to create an explosion of candidates to fill the slots.
It became some kind of Ponzi scheme, where nowadays, many so-called data scientists have no other choice merely offering services to train people interested in becoming a data scientist. The same is truthful for PhD people: many earn money writing someone else's PhD thesis. Companies are at present very careful most assessing the value of someone cocky-calling herself "information scientist", can bring.
Just like many PhD people, specially new ones who get their PhD producing very fiddling original research, the value of their degree has declined. Those from top universities, and this also applies to data scientists, are well equipped and have no problems finding a fantastic chore.
People with only a few days of training will have a hard fourth dimension getting a job. Yet some people with no official training in data science, geographers, engineers, or physicists with substantial professional person experience working with data, can still notice a new job every bit a data scientist (though their job title might be different) in no time. Same with many new graduates who accept an internship as the first milestone in their career.
There are and so many people calling themselves data scientists today, usually calling themselves "data scientific discipline enthusiast", and with no feel, that information technology is not a surprise few tin can get a task.
You can get a task (internship) when companies visit your campus and talk to you lot. Far more than efficient than sending resumes over the Internet (aka "black hole".) Or you can smartly interact when you see a Facebook advertizement recruiting data scientific discipline engineers, and post some cracking comment, rather than using a passive approach. Resumes are getting so passe, mayhap one solar day no one will use ane anymore. It is the case for me. Why not posting some of your contributions on Github instead (or on our website) — this will give y'all far more than visibility, if the content is of loftier quality, gets accepted, and become popular.
About 90% of the people who want to connect with me on LinkedIn, I have to decline them because they are irrelevant to data science. Since, like anybody, I am express to thirty,000 connections, I tin can simply accept an handful number of new connections. Aforementioned issue with companies, as they have a limited upkeep too.
The situation could be far meliorate or far worse, depending on where y'all are located, and your salary expectations. While some data scientists (usually managing a large team) are paid over $250k in US, and others, managing their own successful company, well over $500k, those numbers are exceptions. And if y'all don't succeed (produce value) at that level of compensation, you will be downsized in no time.

Below is a made-up chart displaying the distribution of information scientists, in terms of value added if hired, posted here.

My 2 cents.

Vincent

Related Manufactures

Why do people with no experience desire to become data scientists?
Why is Condign a Information Scientist so Hard?
Full Stack Information Scientist: The Elusive Unicorn and Information Hacker
Statistical Significance and p-Values Have Another Accident
Are data science or stats curricula in US too specialized?
How practise you lot place an actual data scientist?
Is it however possible today to become a cocky-taught data scientist?
Will the chore outlook for data scientists severely reject later 2020?
Why Logistic Regression should be the concluding thing you acquire when bec…
five Myths About PhD Data Scientists

For related articles from the aforementioned writer, click here or visit www.VincentGranville.com. Follow me on on LinkedIn, or visit my old web page here.

DSC Resources