Why are international data scientists "in short supply"?

According to the market research of LinkedIn, the demand for data science has increased by 56%. Therefore, now is the best time to enter this field.

In the context of big data and artificial intelligence, the demand for data scientists is growing. However, it is more difficult for employers to hire senior data scientists because of the lack of suitable candidates.

A popular job-hunting website gives shocking statistics. "The demand for data scientists increased by 29% in June of 5438+ 10. Since 20 13, the increase has reached 344%. Although the demand for job posting continues to increase substantially, the number of job seekers in data science is growing slowly (14%), which indicates that there is a gap between supply and demand.

In the past few years, all walks of life have all kinds of massive data, including internal data, partners, customers and large-scale business information.

Enterprises collect data through customers' queries, searches and preferences, which can not only help enterprises understand customers, but also create products and services based on these statistical data.

The core responsibility of data scientists is to organize and derive data to analyze and predict future problems. Data recalculation or data conflict, as well as data format conversion, are one of the most important reasons for the increasing demand for data science.

Inaccurate data or poor management is a big problem for enterprises, so it is urgent to find data scientists to help enterprises manage big data correctly. Studies have shown that the company's annual losses due to inaccurate data may exceed130,000 USD.

Undoubtedly, highly advanced analysis tools and data acquisition tools have made data separation very simple, but this cannot replace professional and senior data scientists. The demand for data experts who can organize data and extract useful information from it will never decrease.