What skills do Alibaba data mining engineers need?

First of all, Ali is a big company. Although many departments are recruiting data mining engineers, due to the different needs and levels of each department, the technical requirements for personnel are really unclear. . I always thought that my department must be the most skilled in Ali, but after communicating with students from other departments, I found more dishes. . If the subject wants to enter Ali, if possible, it is best to contact the department in advance. If he wants to do research-oriented research algorithms at the bottom, he'd better go to iDST (the department in Beijing seems to have a better algorithm than Hangzhou as a whole), and other departments, such as search and security departments, seem to have similar positions, so you can contact him in advance. According to the description of the topic, if you want to do spatial information, you should go to Gaode. I don't know much about this kind of department. As for other front-line business departments, such as my previous department, the work done is generally low, which will be introduced in detail below. The work of these positions will vary greatly according to different departments. Of course, after all, the job title is called data mining engineer, and there will naturally be many similarities in work. Let's talk about what data mining engineers are doing every day as front-line business departments.

Running data, the most important and time-consuming thing every day is running data. For this reason, you often need to deal with SQL. In our department, all new data mining engineers need to work as data R&D engineers (responsible for data warehouse) for half a year. Think about it. Many people may only stay in one department for two or three years. . Half a year's rotation is also very drunk. The reason for making this decision is to familiarize you with this business. As a data mining engineer, if you can't fully understand the data in the data warehouse, it is pure blind operation to run the algorithm directly. According to our boss, you should "cultivate the feeling of data", which I still agree with. But over time, you will gradually find that this Nima is not the same as the data mining work you originally imagined. I want to be a fortune teller, so how did I come here and become a brick mover in the data warehouse? . Sad but true. If the subject can't accept such a working state, I suggest you find a more research-oriented position and don't come to the front-line business department.