Most In-Demand Data Science Skills
The most in-demand skills for Data Science roles right now are python, data-science, machine-learning — ranked across 15770 open postings.
Updated November 1, 2026
| # | Skill | Open postings | 30-day growth |
|---|---|---|---|
| 1 | python | 1,289 | +1,289 |
| 2 | data-science | 1,253 | +1,253 |
| 3 | machine-learning | 1,250 | +1,250 |
| 4 | ai | 1,071 | +1,071 |
| 5 | sql | 902 | +902 |
| 6 | analytics | 754 | +754 |
| 7 | cloud | 658 | +658 |
| 8 | llm | 545 | +545 |
| 9 | statistics | 522 | +522 |
| 10 | aws | 474 | +474 |
| 11 | generative-ai | 413 | +413 |
| 12 | azure | 411 | +411 |
| 13 | scikit-learn | 352 | +352 |
| 14 | pytorch | 344 | +344 |
| 15 | agentic-ai | 318 | +318 |
| 16 | tensorflow | 302 | +302 |
| 17 | gcp | 300 | +300 |
| 18 | mlops | 297 | +297 |
| 19 | data-engineering | 293 | +293 |
| 20 | nlp | 291 | +291 |
| 21 | deep-learning | 276 | +276 |
| 22 | spark | 257 | +257 |
| 23 | pandas | 238 | +238 |
| 24 | databricks | 237 | +237 |
| 25 | data-pipelines | 191 | +191 |
| 26 | numpy | 190 | +190 |
| 27 | data-visualization | 186 | +186 |
| 28 | automation | 185 | +185 |
| 29 | predictive-modeling | 180 | +180 |
| 30 | feature-engineering | 179 | +179 |
| 31 | causal-inference | 172 | +172 |
| 32 | computer-vision | 171 | +171 |
| 33 | api | 170 | +170 |
| 34 | docker | 170 | +170 |
| 35 | snowflake | 168 | +168 |
| 36 | git | 160 | +160 |
| 37 | time-series | 153 | +153 |
| 38 | github | 150 | +150 |
| 39 | powerbi | 149 | +149 |
| 40 | ci-cd | 149 | +149 |