You wake up in the morning and, with one eye still closed, you Google what the weather is expected in your city. Generate data.
Have breakfast, while on your phone you scroll the wall of your favorite social network. Generate data.
Then you get out of the house, rush into the supermarket and buy the packed lunch you will have at the office. Remove the loyalty card. Generate data.
And finally, get on the tram and stamp the season ticket. And generate data.
In short: you have not even opened your eyes for 2 hours and you have already left numerous traces of yourself.
A series of valuable information, which tells everything about your habits and tastes. A river of data that draws a precise identikit of who, like a Tom Thumb 3.0, has disseminated them.
By tracking the exact profile of each individual (who they are, where they live, how many times a day they take the means of transport, which sites they browse, where they go on vacation and much more), companies can have an incredible competitive advantage, for example, in the development of products and services tailored to its customers, or in the analysis of consumer behavior.
The challenge? Knowing how to shape data, being able to translate the mass of numbers generated by an individual during normal daily life into concrete information.
Who can do that? A new professional figure, in great demand on the market: the Data Scientist.
Literally a data scientist, this specialist is able to immerse himself in Big Data and derive valuable insights. A strategic and increasingly sought-after role, which in the coming years will experience a boom of expansion: according to the estimates of the main world observers, in fact, the demand for Data Scientists will grow exponentially, transforming this profession into one of the most requested in the world.
A great demand that, however, does not meet an equally consistent offer.
The figures of Data Scientists on the market, capable of organizing and analyzing data, transforming them into the knowledge of the market and the customer, are few. Very few. Despite the pluses that this role offers. Which ones? Let’s find out some.
Becoming a Data Scientist: the advantages of an expanding profession
Everyone is looking for them, everyone wants them: the Data Scientist is the profession of the future.
The advantages? Here are the main ones.
A secure offer
Data Scientists are increasingly in demand: in the US alone this profession has experienced a 75% increase in searches in the last 3 years generating hundreds of thousands of jobs.
But the phenomenon isn’t just for the US. According to a McKinsey Global Institute report, demand for data scientists far exceeds supply anywhere in the world.
Observing the growth trends, moreover, an unstoppable ride emerges that will take this job to the Olympus of the most coveted positions within the next 24 months.
In the face of a very substantial demand – from companies -, the supply of data analysis specialists is not enough to fill the need. Translated? The competition is almost nil and the selection process is less crowded, with a greater chance of success.
You should know: high demand and low supply drive the prices of goods and services soaring. An economic law that is also confirmed in the case of Data Scientists whose salaries are quite attractive. They range from 30K to 50K for a junior position, while over 100K for a senior and experienced figure.
The versatility of origin and destination
One of the positive sides of the Data Scientist figure is his flexibility: to become an expert in Big Data the mathematical and statistical provenance is not taken for granted. Humanistic profiles are also valued, specialized in communication or marketing. The plus? Their greater sensitivity towards the market and the consumer and the marked ability to present data in an engaging way even to those who are not familiar with analysis and software. There are also product sectors: the Data Scientist is an extremely transversal profession. From technology to telecommunications, to large-scale distribution to luxury, everyone needs a strategist capable of transforming numbers into insights!