Data Scientist | coming soon.....

We live in exciting times, taken over by technological dominance. Just imagine fuel delivered at your doorstep. Possible? Well, one may find it hard to accept, let alone believe but that’s exactly mission to achieve – beat all the odds. Man to mars – not as a cosmonaut but a commoner. Incredible, and  mind-blowing.

Are you aware how many photos gets posted, messages tweeted, videos made and posted? The social media is busy and gets busier by the day. And it does impact your business. If you care to look at the data accumulated, don’t panic if it looks like a deluge. What happens to this data? Think about it,  as its growing every day.

There can be data pile-up in your workplace. Imagine having multiple folders with hundreds of documents and completely clueless. Processed data becomes information. But who will process the data? Data Scientist. Something unheard a decade ago, is fast becoming the most sought after profile, and rightly so,  given the data produced in a day. 

To give you a glimpse, “According to computer giant IBM, 2.5 exabytes - that's 2.5 billion gigabytes (GB) - of data was generated every day in 2012”.

The total amount of data in the world was 4.4 zettabytes in 2013. 

So, how much data is produced per day? 2.5 Exabytes. That’s a whopping number. A colossal one.

And to deal with data, you need someone adept and hands-on in weeding out the unwanted and clean out the clutter. You need a Data Scientist. 

Data scientists are big data professionals who wrestle with enormous  data that can be structured or unstructured , and bringing to the fore their exceptional statistical skills , Data Scientists can assess, evaluate and organize them. On top of that, they apply their analytics prowess to bring out solutions for challenges crippling the business.

Typically defined, ‘” data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.” And they are placed in a prominent slot as a formidable force. Just check out the pay of a Data Scientist.