Computer science plays a leading role in supporting management by providing views and suggestions based on data statistics. In order to create more goods, services and processes, companies can use computer science to gain a deeper understanding of consumer behavior, market prospects and corporate performance.

Mainly through stronger decision-making, more consumer participation and more effective business processes, so that enterprises have the core competitiveness in the sales market, so that enterprises can get the core competitiveness. The need for authoritative experts in computer science has risen rapidly, opening up a new probability for professional trends.

The following five well-paid positions belong to the academic field of data and information.

Data scientist

Data scientists are professionals who draw conclusions and knowledge and skills from structured and relational databases using effective methods, whole processes, algorithms, and system software. They build models and algorithms to classify the data, make predictive analysis, and find ways to hide it. In addition, they have established efficient transmission of their survey reports and results for all relevant parties.

Data scientists have a strong environment in applied statistics, mathematics, and electronic information science, have specific knowledge of Python and R computer languages, and have professional skills in solving large-scale data sets. The position requires a combination of technical and logical thinking skills, as well as the ability to express complex conclusions to non-technical audiences.

According to Glassdoor, data scientists in the United States estimate annual income at $121169. In addition, advantages such as individual stock options, incentives and profit sharing are often included in the compensation plans of data scientists. However, the salaries of data scientists may vary according to many independent variables, including physical geography, fields, their own experience, and educational experience.

Machine learning technical engineer

Machine learning technical engineers are responsible for designing, building, and deploying scalable machine learning entity models for specific applications. They create and use optimization algorithms to crack complex data information, express it and give predictive analysis. In order to combine these solid models into the finished product, they also collaborated with development engineers.

Generally speaking, machine learning technical engineers have a solid foundation in programming, electronic information science and mathematics. Abroad, machine learning engineers earn $136150, while high earners or people with rich expertise in big cities are likely to earn more.

Engineer big data

The infrastructure structure of enterprise big data is established, built and maintained by big data engineers. They use a variety of cloud computing technologies, including Hadoop, Spark and NoSQL database systems, to design, build and manage the storage, solution and analysis of large and complex data.

They also work with data scientists, data analysts and development engineers to develop, design and implement big data solutions to meet the needs of organizational projects. In foreign countries, the average annual income of development engineers is estimated to be $114501.

Business Intelligence Manager

Organizational decision-making processes are supported by data-driven solutions that are developed and carried out with the help of business intelligence (BI) managers. They harmonize the implementation of BI-specific tools and systems, set up to prioritize business intelligence planning, and work closely with data analysts, data scientists, and the elite team of IT.

The data information commonly used in this solution must be of a high standard, and BI managers must transmit survey reports and opinions to high-end managers and stakeholders to facilitate information on business strategies. It is particularly important for them to establish and maintain data governance and security rules for maintaining business secrets and corporate data. Abroad, business intelligence managers usually earn between $122740 and $157551. The average salary is $140988 a year.

Data analyst Manager

The data analyst manager is responsible for the elite team of leading cadres and data analysts, and supervises the collection, analysis and interpretation of large and medium-sized and complex data. They apply a variety of software and scientific research development and implementation of data statistical analysis strategies to support management processes and inform business strategies.

In order to ensure that the data statistical analysis plan is consistent with the goals of the enterprise, the data analyst manager works closely with the data scientist and the senior management of the enterprise competitive intelligence team. They continue to play a vital role in ensuring the authenticity and quality of the data commonly used in the analysis of thematic activities and in transmitting the survey report and recommendations to stakeholders. They are also able to oversee the allocation of resources and manage budgets related to data statistical analysis projects. Abroad, the average standard salary for a data analyst is $66859.