1. Data analysts, data analysts need to organize, analyze, interpret and visualize data and extract useful information from data. They need to use various tools, statistics and machine learning algorithms.

2, big data development engineers, big data development engineers are responsible for processing large amounts of data and developing related software tools and systems. They need to be familiar with various big data technologies such as Hadoop, Spark, Cassandra, etc.

3, Machine Learning Engineer, Machine Learning Engineers need to be able to use machine learning algorithms, deep learning techniques, and artificial intelligence technologies. They are responsible for developing and maintaining a range of models and algorithms.

4, data scientists, data scientists need to have some data analysis and data mining skills, to be able to find patterns in large amounts of data, and to get valuable information from the data. They often need to use various programming languages and tools, such as Python, R, SQL, etc.