If you looked at the IT job market recently, you might have noticed some unusual job titles. But this is nothing new in the technology world, in fact, we have seen it many times over the last two decades.
Becoming a data scientist has its perks, but it also comes with its own set of unique challenges. For example, you can spend hours or days trying to make sense of a data set only to find out that it has been totally mislabeled, corrupted, or just completely useless because of an upstream problem (that’s beyond your control).
There are loads of open source projects out there and you probably use some of them already. These projects can also be a great learning tool to help you improve your developing skills as you will get to comb through carefully written code that’s being used by a lot of people around the planet.
Saying that there’s a huge demand for data scientists is an understatement. In fact, the high demand for actionable analytics and immediate business intelligence has sent salaries soaring.
If you have tried to hire a good software engineer, you’ll know what I am talking about. It can be a very difficult task to accomplish, even for an average project.
