Data mining engineer: daily work content mainly has five categories. The first is user base research, the second is personalized recommendation algorithm, the third is the model applied in the field of wind control, the fourth is the knowledge base of the product, the fifth is text mining, text analysis, semantic analysis, image recognition.
Data product manager: daily work content: the first is the construction of big data platform, make access to data, use data more easily, build a perfect indicator system, realize the whole process of monitoring the business, improve the decision-making efficiency, reduce operating costs, improve the level of receivables; the second is the analysis of data needs, the formation of data products, internally can improve efficiency, control costs, externally to increase the generation of income, and ultimately realize the value of data. Ultimately, the realization of the value of the data.
Big Data R&D Engineer: This position is the most in demand, the daily work content has three aspects: the first is the collection of data, such as crawlers, log collection, etc.; the second is the data preprocessing, ETL work, such as data cleansing, conversion, integration, statute, etc.; the third is the development of big data applications and visualization.