Most In-Demand Data Science Skills
The most in-demand skills for Data Science roles right now are data-science, python, machine-learning — ranked across 560 open postings.
Updated October 18, 2026
| # | Skill | Open postings | 30-day growth |
|---|---|---|---|
| 1 | data-science | 56 | +56 |
| 2 | python | 56 | +56 |
| 3 | machine-learning | 52 | +52 |
| 4 | ai | 51 | +51 |
| 5 | sql | 37 | +37 |
| 6 | analytics | 37 | +37 |
| 7 | llm | 19 | +19 |
| 8 | statistics | 18 | +18 |
| 9 | cloud | 13 | +13 |
| 10 | data-engineering | 12 | +12 |
| 11 | pandas | 11 | +11 |
| 12 | bigquery | 10 | +10 |
| 13 | ab-testing | 10 | +10 |
| 14 | aws | 9 | +9 |
| 15 | mlops | 9 | +9 |
| 16 | agentic-ai | 9 | +9 |
| 17 | time-series | 8 | +8 |
| 18 | gcp | 8 | +8 |
| 19 | pytorch | 8 | +8 |
| 20 | powerbi | 8 | +8 |
| 21 | git | 7 | +7 |
| 22 | azure | 7 | +7 |
| 23 | airflow | 7 | +7 |
| 24 | nlp | 7 | +7 |
| 25 | deep-learning | 7 | +7 |
| 26 | causal-inference | 7 | +7 |
| 27 | snowflake | 6 | +6 |
| 28 | data-pipelines | 6 | +6 |
| 29 | scikit-learn | 6 | +6 |
| 30 | dbt | 6 | +6 |
| 31 | api | 6 | +6 |
| 32 | github | 6 | +6 |
| 33 | automation | 6 | +6 |
| 34 | docker | 5 | +5 |
| 35 | computer-vision | 5 | +5 |
| 36 | data-visualization | 5 | +5 |
| 37 | tableau | 5 | +5 |
| 38 | databricks | 5 | +5 |
| 39 | ci-cd | 5 | +5 |
| 40 | ecommerce | 5 | +5 |