Portrait of a Russian specialist in the field of Data Science

Портрет российского специалиста в сфере Data Science

Academy big data MADE from Mail.ru Group and Russia’s largest platform for online recruiting hh.ru were portraits of Russian specialists in the data analysis (Data Science) and machine learning (Machine Learning). Analysts found out where they live and what you do – and also what is expected of them as employers and changes in the demand for such professionals.

The Academy is MADE and HeadHunter (hh.ru) conduct research for the second year in a row. At this time, the experts analyzed 10 500 summary and 8100 positions.

The demand for specialists in the field of Data Science is constantly growing

Specialists in data analysis – one of the most popular on the market. In 2019 vacancies in the field of data analysis has increased 9.6 times, and in the field of machine learning is 7.2 times higher than in 2015. When compared with the year 2018, the number of vacancies of specialists in data analysis increased 1.4 times, and machine learning – in 1.3 times.

It, Finance, B2B – the three main areas for the data analyst

Increasingly other professionals in big data are looking for it companies (they account for more than a third – 38% – of open jobs), companies from the financial sector (29% of jobs), as well as from the sphere of services for business (9% of jobs).

The same situation is in the field of machine learning. But here the preponderance in favor of the it companies even more clear – they publish 55% of jobs in the market. Every tenth vacancy in the post of the company from the financial sector (10% of jobs), and services for business (9%).

From July 2019 to April 2020 summary of specialists in data mining and machine learning has increased by 33%. The first place average of 246 summary in a month, the second – 47.

Why wait for the employers

The most popular skill – possession of Python. This requirement is found in 45% of vacancies of specialists in data analysis and half (51%) of the vacancies in the field of machine learning.

Employers want experts to analyze data know SQL (23%), owned the intellectual data analysis (data Mining) (19%), mathematical statistics (11%) and were able to work with large data (10%).

Employers who are looking for experts in machine learning, along with knowledge of Python is expected that the candidate will be proficient in C++ (18%), SQL (15%), machine learning algorithms (13%) and Linux (11%).

What can applicants

Overall, the offer in the market of Data Science meets the demand. Among the most common skills of the data analyst – possession of Python (77%), SQL (48%), data analysis (45%), Git (28%) and Linux (21%). This knowledge of Python, SQL, and Git skills, which are almost equally frequent in summary the specialists of any level. Experienced professionals distinguished by advanced skills of data analysis including intelligent (Data Analysis and Data Mining).

The specialists in machine learning in the top skills such as possession of Python (72%), SQL (34%), Git (34%), Linux (27%) and C++ (22%).

Moscow and St. Petersburg – the leaders in the number of vacancies and CVS in the field of data analysis

The share of Moscow accounted for more than half (65%) vacancies of specialists in the field of data analysis and exactly half of the jobs of specialists in the field of machine learning. On the second place Saint Petersburg: 15% of vacancies of specialists in the field of data analysis and 18% of jobs in the field of machine learning in this town.

Compared to the first half of 2019 July 2019 – April 2020 the share of vacancies for data analyst in Moscow increased slightly from 60% to 65%.

As for job seekers, more than half of them are in Moscow: 63% of specialists in data analysis and 53% for specialists in machine learning. The second line also in St.-Petersburg (16% and 19% summary respectively).

Infographics can be downloaded here.

Портрет российского специалиста в сфере Data Science

Портрет российского специалиста в сфере Data Science

Портрет российского специалиста в сфере Data Science

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