Who are data scientists and what they are paid 300,000 rubles a month for

2024 Author: Malcolm Clapton | [email protected]. Last modified: 2023-12-17 03:44

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Big data helps companies make billions of dollars. Therefore, data scientists, big data analysts, have a salary that is noticeably higher than even the IT average. Let's figure it out together with how to fully master this profession in a year and a half and get about 300 thousand rubles (and even more!).

What does a data scientist do

The main task of this specialist is to draw useful practical conclusions, having only a set of data and being able to analyze them.

A data scientist works with big data - huge amounts of information that they get from a variety of sources. For example:

• in industry - from sensors inside mechanisms: they measure temperature, pressure, production rate;
• on the Internet - by user behavior: how many people visited a certain page, how much time they spent here, which buttons they clicked on, which ads they clicked on.

With all this data, the data scientist knows how to build a forecast and will help make the right decision: whether to sell stocks or not, whether to launch an ad and if so, which one, and so on. It is he who is able to assess how effectively the company works, what it needs to improve, in which directions it is most profitable to develop. He provides a clear mathematical basis for any solution, tests hypotheses, backs up conclusions with data and finds a connection between seemingly completely unrelated events.

Who and how comes to this sphere

Big data analytics is a fairly young field. Developers were the first to come here, launching projects in various directions: from Internet marketing and industry to banks and financial systems.

Business representatives came along with the developers: analysts, marketers, financiers. And mathematicians and statisticians have developed effective algorithms for data analysis that can actually be run on not very powerful PCs.

But with the advent of simple tools for collecting and analyzing big data, as well as with the growth of computing power, the road to data science has opened up for everyone. Today it is quite possible to become a big data analyst from scratch, without a technical background. In you will receive all the necessary knowledge and will be able to apply it in practice. It will take a year and a half - not so much to master a new profession.

And if you already have even a little experience in IT, it will be even easier. In this course, you will improve your Python and R development skills, brush up on math and statistics, develop analytical thinking, and learn how to solve real-life business problems using AI and machine learning. Most importantly, powerful projects will appear in your portfolio that will help you change direction and increase your income.

For beginner analysts, the Skillbox course will provide a pumping of technical skills. You will learn how to hypothesize and translate them into efficient code, process raw data, train machines and predict results. This will give you a powerful boost to your career.

How much does a data scientist earn

Nowadays, leading companies collect big data, knowing that any expenses on its analysis and on the salaries of relevant specialists are justified. After all, this will help you quickly find and eliminate problems, improve the quality of service, and launch new promising projects.

Since this is a new field, data scientists are worth their weight in gold. According to the results of a large-scale study of the salaries of analysts in various areas in Moscow, it turned out that the highest incomes, even at the beginning of their career, are precisely those of data science specialists. Even with less than a year of relevant work experience, they earned on average at least 100 thousand rubles. And with an experience of 3 to 6 years in this profession, a salary of 300 thousand rubles is quite real.

A beginner data scientist can also count on a really high salary abroad. Thus, the average salary of a beginner specialist in this field in the United States is $ 68,054 per year. After deducting all taxes, that's over $ 4,000 per month.

What a data scientist should be able to do

A key skill is to ask the right tough questions. To master it, a specialist must understand the pains and problems of the business, speak the same language with him in order to receive the necessary information.

Each question generates several hypotheses - conclusions that can be tested using data. If the question is formulated correctly, the data scientist can build a model to test the hypothesis and test it, get the results and apply them to the business.

Among technical skills, Python comes out on top - a powerful programming language with an understandable and logical syntax. To understand it, you do not need to be an experienced programmer or at least a "techie". It is enough to be able to call the desired function and set its parameters. In addition, there are many ready-made modules for Python for working with big data, model building, and deep learning.

Analysts at Mail.ru and HeadHunter found that 54% of vacancies require Python proficiency for aspiring big data scientists. For a third of companies, the candidate's ability to work with SQL is important, for 17% - data mining: skills in searching and collecting raw data for further analysis. In 15% of vacancies, attention is paid to mathematical statistics, in 14% - to methods of data analysis.

How to learn all this

To master all this at a level sufficient for finding a job, you do not have to get a second higher education: the Skillbox course will be enough. From the first lesson, you will learn the basics of working with Python, and later you will also master the R language, which was specially created for statistical data processing. You will learn how to work with several Python libraries, master various PostgreSQL, SQLite3 and MongoDB databases.

Big data analytics is inextricably linked to machine learning and neural networks. Therefore, the course also includes frameworks for training neural networks Tensorflow and Keras, as well as many practical tasks for creating models for computer vision and linguistics.

Upon completion, you will also be able to build dashboards and interactive graphics to visualize the results of your work. Finally, you implement your own project - build a recommendation system that can be added to your portfolio. And all this is under the guidance of experienced mentors.

Thus, in just a year and a half, you will know and be able to do much more than the average data scientist candidate. And you can even add a year and a half of training on the course to your experience working with big data. This means, already at the start, apply for a higher salary.

What the cost of studying

Expensive data science training is stopping many future specialists, especially now when the economy is unstable and the world is still struggling with a pandemic. But Skillbox has anti-crisis prices and payment in installments. Until August 31, you can sign up for the course "" with a 40% discount, study for free for the first six months, and then pay only 4500 rubles per month for your education.

Another bonus for those who have completed the course is two months of studying English at the EnglishDom school. Interactive online lessons will help you improve your level - employers will appreciate it.

The profession will be relevant in 15 years - in all areas of business and in any country in the world. It will also help you start your journey in it: upon completion of 75% of the course, you will be accompanied by a personal career consultant who will help you prepare for interviews in the partner companies of this educational platform.