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Data Scientist resume keywords, ranked from real postings

Not a generated synonym list — this is how often each term actually shows up across Data Scientist postings in our live crawl, ranked by the share of postings that mention it.

Ranked from 150 live Data Scientist postings

  1. 1Python84% · 126 of 150
  2. 2SQL72% · 108 of 150
  3. 3AI62% · 93 of 150
  4. 4Statistics52% · 78 of 150
  5. 5Data51.3% · 77 of 150
  6. 6machine learning49.3% · 74 of 150
  7. 7Computer Science31.3% · 47 of 150
  8. 8artificial intelligence22% · 33 of 150
  9. 9PhD22% · 33 of 150
  10. 10ML20.7% · 31 of 150
  11. 11Engineering19.3% · 29 of 150
  12. 12Forecasting18.7% · 28 of 150
  13. 13Science18.7% · 28 of 150
  14. 14monitoring17.3% · 26 of 150
  15. 15Spark16% · 24 of 150
  16. 16English14.7% · 22 of 150
  17. 17roadmap13.3% · 20 of 150
  18. 18Scientist13.3% · 20 of 150
  19. 19feature engineering12% · 18 of 150
  20. 20A/B testing11.3% · 17 of 150

Refreshed periodically from our live job-posting crawl — not a one-time snapshot.

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How this list is built

Every posting we crawl for Data Scientist roles runs through the same rule-based extractor SteadyCV's resume check uses — no LLM, no invented terms. A term only counts if it's confidently identified in the posting text itself: a named tool, an acronym, something inside the requirements section — not guessed from context. We rank by how many distinct postings mention a term, not how many times it's repeated in one, so a single wordy posting can't dominate the list.

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