1. With the popularity of mobile Internet and intelligent terminals, the integration of information technology and economic society has triggered the rapid growth of data. New Moore's Law holds that the total amount of data in human history will double every 18 months. And massive data contains huge productivity and business opportunities. According to LinkedIn's 20 16 report on the hottest positions in China, there are currently six kinds of hot positions in short supply, with different degrees of scarcity. Among them, the supply index of data analysis talents is the lowest, only 0.05, which is highly scarce.
2. Internet companies are one of the most important employment directions for data science and big data. The core business of Internet companies is data collection, processing and analysis, which plays an important role in the company's decision-making process. The main positions of such companies are big data engineers, data analysts and data mining experts. The financial industry is one of the areas where data science and big data talents are in short supply. Taking demand forecasting, risk control, fraud detection and customer relationship management as examples, the financial industry attaches great importance to data processing and analysis. In this field, the main positions are data scientists, data analysts and quantitative analysts.
3. The medical industry is also one of the fields where data science and big data talents are badly needed. The application of data science and big data in medical industry includes the integration of medical information, population health data analysis, medical image analysis and medical data analysis. The main positions are data analyst and health data analyst. Manufacturing is one of the important fields of applying data science and big data technology. Manufacturing enterprises need to process a large amount of machine and equipment data to support production and supply chain management. Data scientists and data analysts will cooperate with the company's engineering department to build solutions in production and supply chain, and mine data to improve efficiency. The main positions are data analyst and production planning analyst.
4. Transportation and logistics industries need to track and analyze system data to improve efficiency, reduce costs and improve customer satisfaction. Data science and big data technology have brought revolutionary influence to this industry in particular. For example, through data science and big data technology, existing transportation and supply chain operations can be optimized, thus improving forecasting accuracy and reducing resource consumption. The main positions are logistics data analyst and transportation analyst.