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Data Scientist Resume Keywords Employers Are Asking For Right Now

Paste your resume and a data scientist job posting. See which of the posting's keywords your resume shows and which are missing.

Your resume stays in your browser: what you paste or open here isn't sent anywhere unless you choose to continue. This page counts visits with Google Analytics and runs no advertising pixels. If you're signed in, CareerGenius also records the visit and the buttons you press, never what you paste.

The checker runs in your browser. Keyword coverage is which of this job's keywords your resume shows, in any word form. It is a tailoring guide, not an ATS score and not a prediction of interviews. Add a keyword only where it's true for you. If you have done the work, say so in the job's words. If you haven't, leave it out.

The data scientist keywords real postings ask for most

From 79 real data scientist job postings at 19 technology companies, collected October 22, 2026 from the companies' public job boards on Greenhouse.

  • Python
  • SQL
  • Statistics
  • Machine learning
  • Data Science
  • Causal inference
  • Data analysis
  • Economics

Hard skills, tools and certifications, by how often they appear

KeywordFound in
Python70 of 79 postings (89%)
SQL64 of 79 postings (81%)
Statistics50 of 79 postings (63%)
Machine learning45 of 79 postings (57%)
Data Science42 of 79 postings (53%)
Causal inference34 of 79 postings (43%)
Data analysis30 of 79 postings (38%)
Economics27 of 79 postings (34%)
A/B testing21 of 79 postings (27%)
Experimentation20 of 79 postings (25%)
Mathematics15 of 79 postings (19%)
Operations research15 of 79 postings (19%)
Presentations15 of 79 postings (19%)
Data modeling14 of 79 postings (18%)
Data visualization14 of 79 postings (18%)
Statistical modeling12 of 79 postings (15%)
Computer Science11 of 79 postings (14%)
ML11 of 79 postings (14%)
Monitoring11 of 79 postings (14%)
PhD10 of 79 postings (13%)

Soft skills the postings ask for

Postings ask for these in plain words. Show them through what you did in your bullets, not as a list of adjectives.

KeywordFound in
Communication69 of 79 postings (87%)
Collaboration48 of 79 postings (61%)
Cross-functional40 of 79 postings (51%)
Leadership22 of 79 postings (28%)
Problem solving21 of 79 postings (27%)
Attention to detail8 of 79 postings (10%)

How we counted: Each posting was read by the same rules the free keyword checker uses (no AI). A keyword is counted once per posting. Duplicate postings count once. A keyword is listed only when at least 3 different employers ask for it and it appears in at least 1 in 20 of the postings for the role. Words that are not skills (equal-opportunity and legal text, pay terms, the job title itself, regions and general words) are left out.

These postings come from technology companies, so a data scientist job in another industry may ask for different things. Check your resume against the posting you're applying to.

Example data scientist resume bullets

These are templates, not lines from a real person's resume. Replace each [bracket] with what you really did, keep numbers only if you know them, and leave out anything you didn't do.

  • Designed and analysed [A/B tests / experiments] on [product area] with [team]
  • Built [model or analysis] in [Python] to [question], and presented it to [audience]
  • Wrote SQL pipelines for [data] used in [reporting or models]

Wording true data scientist experience in the job's terms

  • Use the posting's words: statistics, experimentation, A/B testing, causal inference, machine learning.
  • Name the languages: Python and SQL appear in most data scientist postings in this set.
  • Say what question you answered and who used the answer.

How it works

  1. Paste your resume. Paste the text, or open a PDF or Word file. The file is read in your browser.
  2. Paste the job posting. The checker lists the posting's keywords: tools, credentials and skill phrases, requirements first.
  3. See found and missing. Each keyword is checked against your resume as whole words in any form, so "managed inventory" counts for "inventory management".
  4. Fix what is true. Add the missing keywords that describe experience you really have, in your own bullets, then check again.

Keywords are read from the posting by fixed rules, without AI: tool and product names, certifications and other capitalised terms, common skill phrases, items in the posting's skill lists, and phrases the posting repeats. Requirements count most. Remove any that don't fit, or add your own.

Tailor your resume to this job

Suggest rewrites your resume in the job's terms, only from what's true: it works from your own resume and this job, and you keep or discard each change.

Free to start, no credit card required. Continuing sends your resume and this job to CareerGenius so it can suggest rewrites.

Questions

Should I list every statistics method I know?

List the ones you have used on real work and could explain.

Are these the ATS keywords for data scientists?

They are the words real data scientist postings use most often. No list can tell you how a particular employer's system will rank your resume, and CareerGenius doesn't claim to. Use them to check that your resume says what you really did in the words employers use.

Is this an ATS score?

No. No tool can tell you how a particular employer's system will rank your resume, so CareerGenius doesn't show an ATS score, a pass rate or your odds of an interview. Keyword coverage only shows which of the posting's keywords your resume states.

Is my resume uploaded or stored?

No. The check runs in your browser. Your resume and the job text aren't sent to CareerGenius or anyone else unless you choose to continue to tailoring, which needs a free account. The page counts visits with Google Analytics (the page address, not what you paste) and loads no advertising pixels. If you're signed in, CareerGenius also records the visit and the buttons you press on your account, never what you paste.

Why is a keyword I have marked missing?

The checker looks for the keyword itself in any word form ("managed" for "management"), not for a synonym. If you did the work but described it differently, use the posting's word where it is accurate.

Should I add every missing keyword?

No. Add a keyword only where it's true for you. A resume that claims a skill you don't have can cost you the interview, and the job.

Do I need an account?

No account is needed to check keywords. An account is needed only to save your resume and get rewrite suggestions for a job.

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