ATS keywords
Data Scientist resume keywords
These are the top 14 ATS-relevant keywords every Data Scientist resume should include in 2026. Copy them into your resume, then let ApplyX tailor it to any job description.
Keywords by priority
Priority is based on frequency in real Data Scientist job descriptions. Use critical keywords in your summary and top experience bullets.
1python
Critical2machine learning
Critical3statistics
Critical4sql
Critical5pandas
Critical6scikit-learn
Important7deep learning
Important8experimentation
Important9data visualization
Important10a/b testing
Useful11feature engineering
Useful12jupyter
Useful13r
Useful14storytelling
UsefulHow to use these keywords
Summary section: Include 3-4 critical keywords naturally. Example: “Experienced Data Scientist with expertise in python, machine learning, statistics.”
Skills block: List all relevant keywords in a comma-separated skills section. ATS systems scan this first.
Experience bullets: Pair keywords with measurable impact. “Implemented python resulting in 25% improvement in delivery time.”
Projects section: Name the tools and technologies you used. Every keyword in context adds ATS weight.
Next step
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