Data Scientist resume keywords

What a data scientist resume is screened for, and example bullets to adapt. Use the skills that are true of your experience, and put them inside accomplishment bullets rather than in a bare list.

Also covers: Data Science, Research Scientist, Applied Scientist, Statistician.

Scan your resume against this list

Pre-set to Data Scientist. Free, no signup, nothing stored.

Scoring against Data Scientist keywords.

Your resume is analysed in memory and is not stored. Nothing is saved unless you create an account and explicitly save it.

Skills and keywords

These are the terms most consistently used to screen data scientist applications. Spell tools and certifications the way postings spell them — a screen matches the words, not the meaning.

PythonSQLMachine learningStatisticsPandasscikit-learnA/B testingData visualizationFeature engineeringDeep learning

Example bullets

Each one has blanks in brackets. Fill them with your own figures, or rewrite the line — never keep a number you cannot explain.

  • Built a model type model that improved metric by N%.
  • Designed N A/B tests that informed decision.
  • Productionised N models serving N predictions a day.

Verbs that signal ownership

Open bullets with these rather than with “responsible for” or “worked on”:

builtdesignedproductionised