The arrival of the era of big data, simply, it is the result of huge amounts of data with the perfect combination of computing power. Precisely, is the mobile Internet, Internet of things produced vast amounts of data, big data computing technology the perfect solution to the massive data collection, storage, computation, analysis of the problem. Big Data era open another era of human society with the data value. State of big data industry practitioners of what is it? Let us into a look!
Talent market demand increased significantly, most concentrated in the front line and the new first-tier cities
In the 2017 survey, we found that the prevalence data team talent pool is a big gap; data personnel training cycle is long, slow performance. Team personnel data bank of over 50% of the organizations or institutions are not sufficient data team ubiquitous talent gap.
Analysis of the data found that in 2018 the top team from questionnaires and data, the demand for talent data is still showing a clear upward trend.
By collecting more than 65,000 major job sites 2018 data in the field of jobs, compared to last year, the field of recruitment demand rose by 15.4%.
From the urban point of view, Beijing, Shanghai, Shenzhen, Guangzhou, Chengdu, Hangzhou become the first echelon talent demand data, accounting for more than 94% of the national demand, which Beijing's demand for the largest number of personnel data, 35 percent, followed by the It is Shanghai, Shenzhen, about 18% of both. If you are interested in big data development, I want to learn the system big data, you can join the big data exchange technology to learn buckle group: Digital 4583+ numbers 45782, private letters administrator can receive a free development tools and entry-learning materials
Developers, testers strong demand for quality algorithms, machine learning expectations of the highest staff positions
In the recruitment of various types of jobs, the proportion of demand development, testing and data over half of the allocation ratio personnel and machine learning algorithm is not high, seen from the interview, and machine learning algorithms on jobs, does not that many people, but in the high-quality personnel.
Microsoft China chief Wei Qing counter once said, "We are looking for talent, there are two, one is the algorithm scientist, the person's ability to not only mathematics, but also have practical experience, have to have computer skills, including the ability of electronic engineering , you have to be a generalist.
-15 million annual salary of 50,000 jobs for the mainstream
Contrast the situation of various types of payroll data practitioners, 50,000 -15 million Number of salary accounting for over 60 percent, followed by annual salary of 150,000 to 200,000, accounting for 14% of the annual salary of more than 200,000 persons accounted for about 20%.
Seen from the data, with the increase of education, the average annual salary trends presented basic positive correlation. Income data practitioners of different work experience also showed large differences. Average 1--3 years experience average annual salary of 140,000, more than five years of work experience starting salary steady at 28 million or more, up to 400,000, in the work experience section, the basic salary increases linearly.
Academic requirements focus on undergraduate and post
Industry data on academic requirements focused on college and undergraduate education, accounting for nearly 8 percent. Barriers to entry requirements master's degree or post stroke disabilities rare, accounting for only 1.6%, while such positions focused on algorithms, data, machine learning such positions. The proportion of highly educated people are also less open recruitment may not be related to such positions through recruitment website.
Algorithms and machine learning positions in the highest salary
After the number of needs are met, some of the data team manager also put forward higher requirements. From the post salary it can be seen the degree of industry demand for all kinds of skills.
In all data-related positions, the algorithm post highest salary, annual salary of nearly 300,000 and, secondly, machine learning and product positions.
Beijing data industry practitioners the highest average salary
In the six data needs of the industry's most exuberant cities, the highest average salary in Beijing, followed by Shanghai, Hangzhou, Shenzhen, Guangzhou, Chengdu.
In Beijing, Shanghai, Guangzhou, Chengdu, on average the highest paid job is still time algorithm, Shenzhen, the highest salary is machine learning. In addition, Hangzhou UI payroll jobs was significantly higher than other cities.
Team-related jobs data, the algorithm most competitive salaries, low operation and maintenance, data, operating payroll growth potential
Analysis of the data team after related jobs relationship salary increases and work experience found in all of the data industry-related jobs, the algorithm jobs pay the highest growth rate, at 10 years of work experience background, which is only an average annual salary of over one million job type .
The 3 - 5 years of working experience in the case, second only to salaries machine learning algorithms, but the job is currently for more than five years of work experience practitioners demand is very low, long-term competitiveness of salaries can not be reflected.
Conversely, operation and maintenance, data, operating more than 10 years experience in post bottom wages.
Master's degree are more likely to bring high returns
Based on the results, although the demand for bachelor's degree candidates up in the market data industry, but practitioners have master's degrees, a greater potential for future career development. With the increase of years of work, the entry threshold for the post of Master of the highest salaries.