New places and resources to stand out in an ocean of data scientists and engineers.
It´s 2021, and data science is different now.
In short, the competition is more fierce, and different skills are needed to stand out. For the last 5–10 years, data science has attracted newcomers from around the world to build a career in the “21st century sexiest job”.
I recently read the following mind-boggling statistics in a KDNuggets article where ML researcher Mihail Eric analyzed the data roles being hired for at every company coming out of Y-Combinator since 2012.
Here’s the gist of what he found out in two-sentences.
There are 70% more open roles at companies in data engineering as compared to data science. As we train the next generation of data and machine learning practitioners, let’s place more emphasis on engineering skills.
“This may sound boring and unsexy, but old-school software engineering with a bend toward data maybe what we really need right now.”
So does that mean you shouldn’t study data science? No. What it means is that competition is going to be tougher. There are going to be fewer positions available for what is looking to be an abundance of newcomers to the market trained to do data science.
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To stand out, you need to get your hands dirty and build the skills that really matter. And this means not just technical skills, but collaboration, leadership, and problem-solving abilities.
In order to get there, I want to share with you a few platforms, which all emphasize different skill-sets and knowledge to prepare you for the real world.
The article is dived into two parts:
- Competitive and collaborative platforms to hone your skills
- New resources to augment specific skills