The Global AI, ML, Data Science Salary Index for 2022 💰📊
See below our global salary index in 2022 for roles in the AI, ML, Data Science space based on internal data (survey submissions + jobs with open salaries). Salary data is in USD and recalculated at its average fx rate during the year for salaries entered in other currencies.
The data is processed and updated on a weekly basis so the rankings may change over time during the year. Want to play around with the dataset yourself? You can download the complete salary dataset here.
| # | Role | Median Salary in 2022 | n | |
|---|---|---|---|---|
| 1 | Machine Learning Software Engineer | $ 227,200 | 5 | Details |
| 2 | Applied Scientist | $ 191,737 | 18 | Details |
| 3 | AI Scientist | $ 162,500 | 8 | Details |
| 4 | Applied Data Scientist | $ 157,000 | 5 | Details |
| 5 | Data Architect | $ 154,520 | 46 | Details |
| 6 | Research Engineer | $ 149,925 | 8 | Details |
| 7 | Machine Learning Engineer | $ 148,800 | 123 | Details |
| 8 | Machine Learning Scientist | $ 148,500 | 14 | Details |
| 9 | Research Scientist | $ 144,000 | 15 | Details |
| 10 | Data Scientist | $ 141,525 | 450 | Details |
| 11 | Data Analytics Manager | $ 140,000 | 7 | Details |
| 12 | Data Engineer | $ 135,000 | 488 | Details |
| 13 | Analytics Engineer | $ 135,000 | 56 | Details |
| 14 | Data Specialist | $ 110,000 | 11 | Details |
| 15 | Lead Data Scientist | $ 109,217 | 6 | Details |
| 16 | Data Analyst | $ 109,140 | 272 | Details |
| 17 | Machine Learning Researcher | $ 105,236 | 5 | Details |
| 18 | Data Manager | $ 98,000 | 8 | Details |
| 19 | ETL Developer | $ 93,635 | 10 | Details |
| 20 | Data Operations Engineer | $ 85,000 | 8 | Details |
| 21 | Applied Machine Learning Scientist | $ 77,119 | 9 | Details |
| 22 | Machine Learning Developer | $ 76,814 | 5 | Details |
| 23 | BI Analyst | $ 76,000 | 5 | Details |
| 24 | BI Data Analyst | $ 55,184 | 6 | Details |
| 25 | Business Data Analyst | $ 50,000 | 7 | Details |
About this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.