A, data miner/algorithm engineer

Doing data mining to discover the law from the massive amount of data, which requires a certain amount of mathematical knowledge, the most basic, such as linear algebra, higher algebra, convex optimization, probability theory and so on. Practical modeling experience, the implementation of machine learning algorithms, business understanding, familiarity with data mining algorithms, mastery of databases and proficiency in computer programming. Languages often used include Python, Java, C or C++, or you can write programs in MapReduce and process the data in Hadoop or Hyp, and combine it with Spark if you use Python.

Two, big data analyst

Big data analyst is a kind of data division, refers to different industries, specializing in industry data collection, collation, analysis, and based on the data to make the industry research, assessment and prediction of the professionals. In their work, they extract, analyze, and present data by using tools to realize the commercial significance of the data.

Third, data product manager

Data product manager must understand what data products are needed by different companies, at different stages, and be able to produce them, which is the core requirement of this position. Secondly, the data product manager must have enough data analyzing ability, if you have a data analyzing mind, then it will be easier to combine with the company's business. Finally, data product manager is a kind of product manager, so it is necessary to have the ability of the product manager at the same time: understanding of the user, demand research, program design, coordination of technology, testing, design and so on.

Four, big data visualization engineers

With the application of big data in people's work and daily life, big data visualization is also changing the way human beings read and understand information. From Baidu's migration to Google's flu trends to AliCloud's launch of county economic visualization products, big data technology and big data visualization are the heroes behind the scenes.

About what are the future employment directions of big data development, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.