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An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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Data Science is Not Becoming Extinct in 10 Years, Your Skills Might

4 reasons why data science is here to stay and what you need to do to ensure that your skillset stays in demand.

Ahmar Shah, PhD (Oxford)
TDS Archive
Published in
9 min readMay 31, 2021

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Photo by michael podger on Unsplash

As someone working in data science for over a decade, it is frustrating to see people prophesying on how the field will get extinct in 10 years. The typical reason given is how emerging AutoML tools will eliminate the need for practitioners to develop their own algorithms.

I find such opinions especially frustrating because it dissuades a beginner from taking data science seriously enough to excel in it. Frankly, it is a disservice to the data science community to see such prophecies about a field where the demand is only going to increase even further!

Why would any sane person invest their finite time and energy in learning something that will become extinct soon?

Let me tell you something. If there is one field where you have the best chance of truly retiring in, it is data science, Period. I will give you four key reasons why data science is not getting extinct anytime soon. I will also then give you my advice to ensure that you stay on the right side of data science in 10 years.

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Ahmar Shah, PhD (Oxford)
Ahmar Shah, PhD (Oxford)

Written by Ahmar Shah, PhD (Oxford)

Scientist (several research publications in prestigious journals such as The Lancet, Brain, Thorax, IEEE Transactions), love writing for meaning & impact…

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