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 77 full job descriptions from 10 employers. These are the exact words recruiters search for in their ATS — with real frequencies, not guesses.
Quick answer
The top resume keywords for data scientist roles are Cross-functional collaboration, Python, Stakeholder management, SQL, AI / LLMs — measured across 77 full data scientist job descriptions from live S&P 500 postings (June 2026). "Cross-functional collaboration" appears in 53.2% of them, and the median posting that states a number asks for 6 years of experience (14 postings). Only 19.5% of the 77 full descriptions list a degree as a requirement.
What the data scientist data shows
3 terms show up in at least 40% of the 77 data scientist job descriptions we read: Cross-functional collaboration (53.2%), Python (42.9%) and Stakeholder management (40.3%). Those are the closest thing this role has to a standard keyword set, so a data scientist resume that lacks them is easy for a recruiter's ATS search to skip.
What sets data scientist postings apart from the average S&P 500 posting: Statistics appears 10.1x as often, and A/B testing 7.5x and Machine learning 5.7x. These are the role-specific terms generic resume advice tends to miss.
Some terms travel together. Of the 26 data scientist postings that mention SQL, 21 (80.8%) also mention Python, against 42.9% across the role. If you list one, check whether you can honestly back up the other.
59% of the 332 data scientist postings we indexed carry a senior, staff, lead, principal or manager title, and 8.7% are explicitly junior, associate or entry level.
332
Postings indexed
77 with full text
6 yrs
Median experience asked
n = 14
19.5%
List a degree as required
n = 77
40.3%
Mention remote work
n = 77
The 17 keywords, ranked by how often they appear
Percentage of the 77 full data scientist job descriptions containing each term, and how much more often it appears than in the average S&P 500 posting. 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 | vs. average | Frequency bar |
|---|---|---|---|
| Cross-functional collaboration | 53.2% (41) | 2x | |
| Python | 42.9% (33) | 3.9x | |
| Stakeholder management | 40.3% (31) | 1.3x | |
| SQL | 33.8% (26) | 5.3x | |
| AI / LLMs | 28.6% (22) | 4.3x | |
| A/B testing | 28.6% (22) | 7.5x | |
| Statistics | 27.3% (21) | 10.1x | |
| Machine learning | 26% (20) | 5.7x | |
| Data analysis | 18.2% (14) | 4.2x | |
| ETL / data pipelines | 16.9% (13) | 3.8x | |
| Roadmap | 16.9% (13) | 1.4x | |
| C++ | 11.7% (9) | 4.7x | |
| Tableau | 9.1% (7) | 5.7x | |
| Agile/Scrum | 9.1% (7) | 3.4x | |
| KPIs / metrics | 6.5% (5) | 0.7x | |
| Excel | 6.5% (5) | 1x | |
| Airflow | 5.2% (4) | 5.8x |
Source: 77 full job descriptions out of 332 indexed postings, June 2026. Counts in brackets are postings; "vs. average" compares with all full-text postings in the study. Employer boilerplate (company intros, benefits, EEO text) is excluded before counting. Full methodology & dataset.
What data scientist postings actually require
Based on the 77 postings with a full description.
- Experience: median 6 years where stated (14 postings specified a number).
- Degrees: 19.5% list a degree as a requirement and 55.8% mention one at all.
- Work mode: 40.3% mention remote, 24.7% hybrid, 28.6% on-site language. Mirror the posting's location language in your resume header if you match it.
- Salary: 0% of postings disclosed a range (0 of 77) — too few to report a median.
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 (all 332 postings). The ATS matters: Workday handles 69.6%, Greenhouse handles 16.3% of detected postings in this role — each parses resumes differently.
Check any other company in the free ATS Finder.
How to use these data scientist keywords without keyword-stuffing
- Use the exact wording for the core terms. "Cross-functional collaboration", "Python" and "Stakeholder management" each appear in 40% or more of data scientist postings, and ATS search is literal, so a near-synonym won't match. Put each one in your skills section and in at least one experience bullet.
- Use the specialist terms as differentiators. SQL (33.8%), AI / LLMs (28.6%) and A/B testing (28.6%) are less common but far more frequent here than in postings overall. When a posting asks for one and you have it, name it outright. These are the terms that separate a data scientist resume from a generic one.
- State your years of experience. Among the 14 data scientist postings that named a number, the median ask was 6 years. Write it in your summary ("6+ years in…") instead of making the recruiter count dates.
- Put your degree where it can be found. 55.8% of the 77 full data scientist descriptions mention a degree (19.5% list one as a requirement), so a clearly labeled Education section is worth the space.
Recruiters search their ATS for literal strings, then read the bullets around the match, so each keyword needs to live inside an achievement. For example (illustrative — use your own numbers):
"Designed and analyzed 14 A/B tests in Python and SQL; the winning pricing variant lifted conversion 6%"
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 the 77 full data scientist job descriptions we analyzed (from 332 indexed S&P 500 postings), the most frequent resume-relevant terms were Cross-functional collaboration (53.2%), Python (42.9%), Stakeholder management (40.3%). 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?
- 19.5% of the 77 full data scientist descriptions we analyzed list a degree as a requirement, and 55.8% mention one at all. Where a posting named a number of years, the median was 6 (14 postings).
- 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 (77 with full descriptions, from 10 employers, for the keyword, experience, degree and work-mode figures). The methodology and downloadable dataset are in the research post.
Related roles
Keywords for other roles
Data snapshot: 2026-06-17. Updated with each refresh of our S&P 500 hiring study.