How To Get A Data Science Job Out Of College

Another question recently posted on social networks. Below is my answer, with link to the original post.

The master reason is the exponential growth of information science candidates, while the growth in job openings, even though exponential as well, is increasing at a lower pace than the number of applicants. In some ways, this is like to the explosion of PhD people, while the number of jobs for these people is shrinking. I would wonder: why and so many people want to go a PhD when job prospects are not, past far, what they used to be? I call back the reply to that question also applies to information scientists; there are a few similarities:

4 years ago, when companies could not find any existent data scientist, these companies — helped past academia and data camps — managed somehow to create an explosion of candidates to make full the slots.
It became some kind of Ponzi scheme, where nowadays, many so-called data scientists take no other choice merely offering services to train people interested in becoming a information scientist. The aforementioned is true for PhD people: many earn coin writing someone else'due south PhD thesis. Companies are at present very careful nearly assessing the value of someone self-calling herself "information scientist", tin bring.
Just like many PhD people, particularly new ones who become their PhD producing very little original research, the value of their degree has declined. Those from top universities, and this likewise applies to data scientists, are well equipped and have no bug finding a fantastic chore.
People with but a few days of training will have a difficult time getting a job. Nonetheless some people with no official preparation in information science, geographers, engineers, or physicists with substantial professional experience working with data, can still observe a new job as a information scientist (though their task title might be different) in no time. Aforementioned with many new graduates who accept an internship as the showtime milestone in their career.
There are and then many people calling themselves data scientists today, ordinarily calling themselves "data science enthusiast", and with no experience, that it is non a surprise few can get a job.
You can become a job (internship) when companies visit your campus and talk to y'all. Far more efficient than sending resumes over the Internet (aka "black hole".) Or yous can smartly collaborate when you see a Facebook advert recruiting data science engineers, and post some great comment, rather than using a passive approach. Resumes are getting then passe, maybe one mean solar day no one volition use one 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 visibility, if the content is of loftier quality, gets accepted, and become popular.
About 90% of the people who desire to connect with me on LinkedIn, I have to decline them considering they are irrelevant to data science. Since, like everyone, I am limited to 30,000 connections, I can simply accept an scattering number of new connections. Same outcome with companies, as they have a limited budget as well.
The situation could be far improve or far worse, depending on where y'all are located, and your salary expectations. While some data scientists (usually managing a large squad) are paid over $250k in US, and others, managing their ain successful visitor, well over $500k, those numbers are exceptions. And if you don't succeed (produce value) at that level of compensation, you lot will be downsized in no time.

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

My 2 cents.

Vincent

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