Original data · 332 live postings · 56 S&P 500 companies

Data Scientist Resume Keywords: What 56 S&P 500 Companies Actually Ask For

We indexed 332 live data scientist postings from S&P 500 careers sites (June 2026) and measured which resume-relevant terms appear in the 101 full job descriptions. These are the exact words recruiters search for in their ATS — with real frequencies, not guesses.

332

Postings analyzed

6 yrs

Median experience asked

1.5%

Explicitly require a degree

12.3%

Mention remote work

The 18 keywords, ranked by how often they appear

Percentage of full data scientistjob descriptions containing each term. Only include a keyword if it's truthful for you — then verify your coverage against a real posting with the free checker (no signup).

Keyword% of postings
Cross-functional collaboration47.5%
Python37.6%
Stakeholder management34.7%
SQL29.7%
AI / LLMs23.8%
A/B testing22.8%
Statistics21.8%
Machine learning19.8%
Data analysis15.8%
Roadmap15.8%
ETL / data pipelines14.9%
Tableau9.9%
C++8.9%
Agile/Scrum6.9%
Spark6.9%
KPIs / metrics5%
Excel5%
Data visualization5%

Source: 101 full job descriptions out of 332 indexed postings, June 2026. Full methodology & dataset.

What data scientist postings actually require

  • Experience: median 6 years where stated (14 postings specified a number). State your years explicitly — "7+ years building distributed systems" beats making the recruiter count your dates.
  • Degrees: only 1.5% explicitly require one (14.8% mention one at all). If you have a degree, list it; if not, lead with skills and shipped work — the data says that's what most postings now screen for.
  • Work mode: 12.3% mention remote, 8.7% hybrid, 6.9% on-site language. Mirror the posting's location language in your resume header if you match it.

Who's hiring data scientist roles — and which ATS reads your resume

Top S&P 500 employers by live data scientist posting count in our crawl. The ATS matters: Workday handles 69.6%, Greenhouse handles 16.3% of detected postings in this role family — each parses resumes differently.

Merck & Co.59 postingsWorkday
Veeva Systems47 postingsLever
Elevance Health31 postingsWorkday
Palo Alto Networks22 postingsWorkday
Airbnb21 postingsGreenhouse
Expedia Group14 postingsWorkday
IQVIA13 postingsWorkday
Axon Enterprise9 postingsGreenhouse
Gilead Sciences9 postingsWorkday
Bristol Myers Squibb8 postingsWorkday

Check any other company in the free ATS Finder.

How to use these keywords without keyword-stuffing

Recruiters search their ATS for literal strings, then read the bullets around the match. So each keyword needs to live inside an achievement: "Built CI/CD pipelines (GitHub Actions) that cut release time 60%" works for both the search and the human. Put the highest-frequency terms in your skills section and at least one experience bullet — placement rules are in our keyword placement guide, and the full tailoring workflow is in how to tailor your resume to a job description.

Frequently asked questions

What are the most important resume keywords for data scientist roles?
In our analysis of 332 S&P 500 data scientist postings, the most frequent resume-relevant terms were Cross-functional collaboration, Python, Stakeholder management. But the posting in front of you always wins: tailor to its exact language first, and use this list to fill gaps it implies but doesn't spell out.
Do S&P 500 data scientist jobs require a degree?
Only 1.5% of the 332 postings we analyzed explicitly required a degree, and 14.8% mentioned one at all. Requirements sections increasingly emphasize skills and years of experience (median 6 years for this role family).
Should I copy these keywords into my resume verbatim?
Use the exact phrasing where it is truthful — ATS keyword search is literal, so "Kubernetes" matches "Kubernetes", not "container orchestration". But every keyword must be attached to real experience: recruiters spot keyword stuffing instantly, and an interview will expose it.
Where does this data come from?
Our June 2026 study of all 503 S&P 500 careers sites and 332 live data scientist postings (101 with full descriptions for keyword analysis). The methodology and downloadable dataset are in the research post.

Keywords for other roles

Data snapshot: 2026-06-12. Updated with each refresh of our S&P 500 hiring study.