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What Data Scientist job postings ask for

SQL appears in 83% of Data Scientist job postings, followed by Python (82%) and R (47%) — counted across 143 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 143 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. SQL83% · 119 of 143
  2. Python82% · 117 of 143
  3. R47% · 67 of 143
  4. Causal inference32% · 46 of 143
  5. Machine learning25% · 36 of 143
  6. A/B testing24% · 34 of 143
  7. Spark17% · 24 of 143
  8. Tableau14% · 20 of 143
  9. Experimentation13% · 19 of 143
  10. AI11% · 16 of 143
  11. Snowflake10% · 14 of 143
  12. Looker10% · 14 of 143
  13. Statistical modeling10% · 14 of 143
  14. BigQuery8% · 11 of 143
  15. LLMs8% · 11 of 143
  16. dbt8% · 11 of 143
  17. Statistics7% · 10 of 143
  18. Airflow7% · 10 of 143
  19. Optimization7% · 10 of 143
  20. Data visualization6% · 9 of 143
  21. Hive6% · 9 of 143
  22. Hadoop6% · 9 of 143
  23. Scikit-learn6% · 9 of 143
  24. Mode6% · 9 of 143
  25. PyTorch5% · 7 of 143

Questions about this data

What skills do most Data Scientist job postings ask for?

Across 143 Data Scientist postings from the last 90 days, the most frequently named are SQL (83%), Python (82%), R (47%). Each percentage is the share of those postings naming the term at least once.

How common is AI in Data Scientist postings?

AI appears in 11% of the 143 Data Scientist postings counted — roughly 16 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 143 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