Data scientist: who are you, what do you do, how much do you earn?

A data scientist is the person who gathers and translates thousands of data generated per minute to extract value from it. And their average income in Brazil is more than seven thousand/month.

You most likely already know that this profession, which is very popular, requires fundamental skills to gain a place in the sun in the job market.

But this is not to discourage you! 🤗

On the contrary, we prepared this article so that you can get to know the profession of data scientist , learn a little more about its history, understand what is actually done in this area, what skills are required and what is the best way to go to leverage your data scientist career

What do you think?

Good reading!

Data scientists: who are they?

Data scientists are professionals who gather, translate and communicate relevant information extracted from colossal amounts of data generated by companies from their activities, their customers, employees, etc.

And as we are living in a time of global digitalization, in which thousands of data are generated per second , whether through our smartphones and their applications, or through a simple trip to the bakery, the tendency is for this profession to gain more and more prominence. in the business market.

And why is there so much emphasis on data science among so many areas of technology?

Because it is precisely this role that has the necessary skills (it has to be!) to interpret all this data and transform it into information of real value for various sectors and areas of a company.

After all, data is the new oil , but data scientists who know how to use it are even more precious. 😉

Data scientist: how did this profession come about?

The term data scientist appeared in the history of humanity around 30 years ago , resulting from the sum of factors such as:

• the dissemination of computer science in various sectors;
• new observations from academic statisticians and mathematicians ;
• favorable economy .

The tendency of technologies is, over time, to become accessible . And with computing in general it was no different. Before domestic use, information technology was already taking over companies, helping to automate countless tasks and processes that were once analogue.

With the fall in the cost of computers, organizations found themselves able to store and process more and more data , thus emerging new ways of valuing it, revolutionizing the entire use of information in a commercial way.

The advancement of the internet was also crucial for the growth of the data scientist profession , as it was when knowledge went through a process of virtual democratization , with it no longer being necessary to consult books (not always so accessible) in libraries, for example.

It is important for you to know that the area of ​​data science can go beyond business statistics , which are even recent targets in the business world.

Until the mid-2000s, computing power was still quite restricted for generating business data. At the time, greater emphasis was placed on other fields of data science , such as:

• agricultural statistics
• social statistics
• epidemiology
• econometrics
• biostatistics

But it was with the explosion of data storage devices that the field turned to business information like never before.

This is because computers were becoming faster and with larger and cheaper hard drives, popularizing relational databases , data retrieval and SQL queries .

From this, data storage evolved, enabling the emergence of big data , which brought data mining and, consequently, business intelligence (BI) .

What is the role of a data scientist in the data science and analytics team?

The first thing that can be made clear, especially if you are starting out, is that a data scientist is not a data analyst , nor a data engineer , nor an analytics engineer .

These are professions with different responsibilities, roles and objectives in a data science and analytics team.

Want to see?

Here at Indicium , for example, data scientists are responsible for creating predictive models and analyzing data .

To successfully perform these tasks, it is desirable that the person has knowledge of statistics and programming , in addition to:

• always update yourself on analytical techniques, such as deep learning and machine learning ;
• know how to observe and monitor trends;
• work with programming languages, such as R, Python and SAS; be able to solve business problems with data driven techniques .

How much do data scientists earn?

Directly speaking: a data scientist is the person who gathers and translates thousands of data generated per minute to extract value from it. And their average income in Brazil is more than seven thousand/month.

If you are part of the team that cares about remuneration when choosing a professional path, in data science the salary is one of the biggest attractions .

According to Glassdoor , a famous salary consultation website paid by companies by areas and sectors, the average annual salary for data scientists in Brazil is R$87 thousand . 🤩

Without a doubt, it is a value that makes the eyes of anyone thinking about starting this career shine.

Is this your case?

Want to know how to become a data scientist?

No one becomes a data scientist overnight. It needs a certain amount of time and dedication, of course.

You need to know how to use and manage specific tools , learn programming and statistics , as well as advanced analytical techniques .

Indicium 's tip is: study, study hard, and always study , but never give up . Especially because keeping learning every day is one of the requirements of this area that is renewed all the time.

And if you want to learn from a top data science team , this is your chance!

Discover Indicium Academy , Indicium 's data and analytics education platform , with the chance of being hired at the end of the course. 😉

And if you want to learn more about the world of data science and analytics from those who are leaders in this field, subscribe to our biweekly newsletter here.