Portrait of Data Scientist in Russia. Facts only
The hh.ru research service, together with the Mail.ru Big Data Academy MADE from Mail.ru, compiled a portrait of a Data Science specialist in Russia. After studying 8 thousand resumes of Russian data Scientists and 5.5 thousand vacancies of employers, we found out where the specialists in Data Science live and work, how old they are, what university they graduated from, what programming languages they speak and how many academic degrees they have.
Since 2015, the need for specialists is constantly growing. In 2018, the number of vacancies under the heading Data Scientist grew 7 times compared to 2015, and the vacancy with the keywords Machine Learning Specialist grew 5 times. At the same time, in the first half of 2019, the demand for Data Science specialists amounted to 65% of the demand for the entire 2018.
Mostly men work in the profession, their share among data Scientists is 81%. More than half of people looking for work in data analysis are specialists aged 25-34. There are still few women in the profession - 19%. But it is interesting that young girls are showing more and more interest in Data Science. Among women who posted a resume, almost 40% were girls aged 18-24.
But the resume of older applicants is quite small - only 3% of data scientists are over 45 years old. According to expert estimates, this may be due to several factors: firstly, there are few older representatives in Data Science, and secondly, job seekers with extensive experience are less likely to post their resumes on large search resources and more often find work on recommendations.
More than half of the vacancies (60%) and job seekers (64%) are in Moscow. Also, experts in the field of data analysis are in demand in St. Petersburg, in the Novosibirsk and Sverdlovsk regions and in the Republic of Tatarstan.
9 out of 10 professionals looking for work in the field of data analysis have a university degree. Among people who graduated from universities, there is a large proportion of those who continue to develop in science and managed to get a degree: 8% have a candidate of science, 1% have a doctor of science.
Most specialists looking for work in the field of Data Science studied at one of the following universities: at MSTU named after N.E. Bauman, Moscow State University M.V. Lomonosov Moscow Institute of Physics and Technology, Higher School of Economics, St. Petersburg State University, St. Petersburg State University, Financial University under the Government of the Russian Federation, NSU, KFU. Employers are also loyal to these universities.
43% of specialists in Data Science noted that in addition to higher education, they received at least one additional education. Most often, CVs mention online machine learning courses and data analysis at Coursera.
Among the key skills, Data Science experts point out in a summary of Python (74%), SQL (45%), Git (25%), Data Analysis (24%) and Data Mining (22%). Those experts who write in a resume about their expertise in machine learning also mention Linux and C ++. The most popular programming languages for specialists in Data Science: Python, C ++, Java, C #, JavaScript.
Employers believe that Data Science professionals should work in a full time office. 86% of the vacancies are full-time, 9% have a flexible schedule, and only 5% of the vacancies contain a job offer.
In preparing the study, we used data on job growth, employer salary requirements and job applicant experience posted on hh.ru in the first half of 2019 and provided by the HeadHunter research service.
Demand
Since 2015, the need for specialists is constantly growing. In 2018, the number of vacancies under the heading Data Scientist grew 7 times compared to 2015, and the vacancy with the keywords Machine Learning Specialist grew 5 times. At the same time, in the first half of 2019, the demand for Data Science specialists amounted to 65% of the demand for the entire 2018.
Demography
Mostly men work in the profession, their share among data Scientists is 81%. More than half of people looking for work in data analysis are specialists aged 25-34. There are still few women in the profession - 19%. But it is interesting that young girls are showing more and more interest in Data Science. Among women who posted a resume, almost 40% were girls aged 18-24.
But the resume of older applicants is quite small - only 3% of data scientists are over 45 years old. According to expert estimates, this may be due to several factors: firstly, there are few older representatives in Data Science, and secondly, job seekers with extensive experience are less likely to post their resumes on large search resources and more often find work on recommendations.
Dislocation
More than half of the vacancies (60%) and job seekers (64%) are in Moscow. Also, experts in the field of data analysis are in demand in St. Petersburg, in the Novosibirsk and Sverdlovsk regions and in the Republic of Tatarstan.
Education
9 out of 10 professionals looking for work in the field of data analysis have a university degree. Among people who graduated from universities, there is a large proportion of those who continue to develop in science and managed to get a degree: 8% have a candidate of science, 1% have a doctor of science.
Most specialists looking for work in the field of Data Science studied at one of the following universities: at MSTU named after N.E. Bauman, Moscow State University M.V. Lomonosov Moscow Institute of Physics and Technology, Higher School of Economics, St. Petersburg State University, St. Petersburg State University, Financial University under the Government of the Russian Federation, NSU, KFU. Employers are also loyal to these universities.
43% of specialists in Data Science noted that in addition to higher education, they received at least one additional education. Most often, CVs mention online machine learning courses and data analysis at Coursera.
Popular skills
Among the key skills, Data Science experts point out in a summary of Python (74%), SQL (45%), Git (25%), Data Analysis (24%) and Data Mining (22%). Those experts who write in a resume about their expertise in machine learning also mention Linux and C ++. The most popular programming languages for specialists in Data Science: Python, C ++, Java, C #, JavaScript.
How do they work
Employers believe that Data Science professionals should work in a full time office. 86% of the vacancies are full-time, 9% have a flexible schedule, and only 5% of the vacancies contain a job offer.
In preparing the study, we used data on job growth, employer salary requirements and job applicant experience posted on hh.ru in the first half of 2019 and provided by the HeadHunter research service.
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