Free Data Scientist ATS resume checker.
Uses statistics, experimentation, modeling, and business context to turn data into decisions. Use this page to understand the keywords, evidence, and section structure hiring teams expect, then scan your resume privately in the browser.
Why this role needs a focused resume
Data science hiring rewards candidates who connect modeling work to business decisions and measurable impact.
ATS keywords to place naturally
Private scan path
Open `/analyze`, upload PDF, DOCX, or TXT, and review format, keyword, skill, section, experience, and project signals without sending the file to a server.
Top skills
- Python
- SQL
- statistics
- machine learning
- experimentation
- visualization
Recruiter signals
- business problem framing
- model validation
- decision or revenue impact
Best sections
- Data Science Profile
- Models
- Analytics Experience
- Projects
- Tools
Proof to add
- model accuracy
- experiment lift
- dashboard adoption
- business recommendations
Common mistakes
- Listing algorithms without explaining the decision they improved.
- Using a generic summary that does not name the target role.
- Listing tools without showing where they were used.
- Adding metrics that are not supported by project, work, or portfolio evidence.
How to use this page
- 01
Compare your resume language against the role keyword list.
- 02
Add proof only where you have projects, work examples, or verified metrics.
- 03
Run the private ATS checker and use the report to fix weak sections.