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What Data Scientist job postings ask for

SQL appears in 84% of Data Scientist job postings, followed by Python (82%) and R (44%) — counted across 210 live postings from company career sites.

Every term below was counted in real postings published by employers. We tally what each posting names at least once, so one keyword-stuffed listing can’t inflate a number.

Counted across 210 Data Scientist postings gathered from company career sites and seen in the last 90 days. Percentages are the share of those postings naming each term. Last verified against live postings on ; re-checked every six hours.

Skills and tools, most-asked first

  1. SQL84% · 176 of 210
  2. Python82% · 172 of 210
  3. R44% · 92 of 210
  4. Causal inference30% · 63 of 210
  5. Machine learning27% · 57 of 210
  6. A/B testing22% · 46 of 210
  7. Spark15% · 32 of 210
  8. AI15% · 32 of 210
  9. Experimentation14% · 29 of 210
  10. Tableau13% · 27 of 210
  11. Statistical modeling11% · 23 of 210
  12. LLMs10% · 21 of 210
  13. Looker10% · 21 of 210
  14. BigQuery9% · 19 of 210
  15. dbt9% · 19 of 210
  16. Snowflake8% · 17 of 210
  17. Data visualization8% · 17 of 210
  18. Optimization7% · 15 of 210
  19. Hive6% · 13 of 210
  20. Airflow5% · 11 of 210
  21. Scikit-learn5% · 11 of 210
  22. Statistics5% · 11 of 210
  23. Hadoop5% · 11 of 210
  24. PyTorch4% · 8 of 210
  25. Redshift4% · 8 of 210

Questions about this data

What skills do most Data Scientist job postings ask for?

Across 210 Data Scientist postings from the last 90 days, the most frequently named are SQL (84%), Python (82%), R (44%). Each percentage is the share of those postings naming the term at least once.

How common is Tableau in Data Scientist postings?

Tableau appears in 13% of the 210 Data Scientist postings counted — roughly 27 of them. That places it mid-pack rather than near-universal, which is worth knowing before you rewrite a résumé around it.

Where does this Data Scientist data come from?

Public job postings published by employers on their own career sites, collected through the official Greenhouse, Lever and Ashby job-board APIs. It is a count of 210 real postings seen in the last 90 days — not a survey, an estimate, or a model's guess.

Should I add these skills to my résumé?

Only the ones you genuinely have. Frequency tells you which terms to surface and phrase in the employer's own words if they are already true of you. Adding a skill you can't defend is the fastest way to fail an interview, so FreshStartr reports gaps rather than writing them in.

Other roles we track

Which of these does your résumé actually evidence?

Paste a Data Scientist posting and you get a line-by-line match report: what you already prove, and what you don’t. Gaps are reported, never written in for you.

Check my résumé