There are three types of positions:

Data Scientist: The main job is to build statistical models, design experiments (A/B Testing), discover data insights, etc. Requires solid mathematical skills, good programming skills to implement models (Python), and good product/business awareness.

Data Engineer: To establish a data science pipeline, you generally need to be very familiar with big data platforms, proficient in technologies such as Hadoop, Spark, MapReduce, etc., and do not have high requirements for statistical modeling. You need to have good programming skills. .

Data Analyst: The main responsibility is data processing, simple analysis and visualization. The main technical lines are SQL and Tableau.