Data Science Resume Keywords & ATS Expectations
This isn't an article — it's the live data our resume scanner uses to analyze data science resumes. When the engine improves, this page updates with it.
Core skills per the U.S. Department of Labor
Source: O*NET 15-2051.00 — Data Scientists (onetonline.org, public domain)
Keywords ATS systems expect on data science resumes
Job titles recruiters recognize in this field
Certifications that anchor a data science resume
What screeners check first in data science
A GitHub or notebook portfolio link strengthens every application.
Common questions
What keywords do ATS systems look for on data science resumes?
The highest-weight terms in our data science detection engine include statistical analysis, statistics, hypothesis testing, a/b testing, a/b test, experiment design, experimentation, regression. These come from the live tables our scanner runs on every data science resume — use the exact recognized form of each term you can honestly claim, once, attached to real experience.
Which certifications matter most on a data science resume?
Our scanner anchors data science resumes on certifications like GOOGLE DATA ANALYTICS, IBM DATA SCIENCE, TABLEAU CERTIFIED, AWS MACHINE LEARNING, COURSERA, DATACAMP. List the ones you hold with their exact recognized abbreviation — recruiters and ATS searches both match on the standard form.
What do screeners check first on data science resumes?
A GitHub or notebook portfolio link strengthens every application.
How do I check my data science resume against this data?
Run the free scan — it checks your actual document against these exact keyword tables, plus parsing, structure, and red flags, and returns a full diagnostic report in about 20 seconds. No signup; your resume is never stored.
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Methodology: keyword and title lists come directly from the detection tables our scanner runs on every data science resume, validated by a pinned regression suite. O*NET data is public domain from the U.S. Department of Labor. See our methodology.