Dataset

Data is downloaded from Kaggle.com. It consists of Year, Job Tile, Salary in USD, experience level (Entry, Mid-level, Senior, Experience), employment type (Full-time, Part-time, Freelance), company size (L, M, S)

Analysis

In overview, we look at the salary trends. It is interesting to see that salary in small company is increasing fast in the past 2 years compared to company with larger size. There is no difference with other profession, the experience and full-time roles earn the higher income.

Highly paid jobs are mostly from senior and experience roles. Whereas, the popular Data Science roles are Data Scientist, Data Engineer and etc, all of them fall into the entry level category.

When we look at the detail jobs breakdown by years, we can see that a lot of new roles emerge in the recent 2 years. The matrix table allows one to drill-down to the experience level. You can also check where is your data science role in the job market.

Summary

Data Science is a very dynamic market, it can tell from the data more new roles are emerged in the recent years. The experience level role can earn more than management role. It is interesting to see that salary in the smaller company keep improving. Does it have any relation with AI revolution? We should continue the analysis with the appropriate data in the coming series…