ATS checker · Data Scientist
Most ATS guidance is generic, recruiters in data science screen for specific terminology, operational language, and scope signals. Here's what actually matters.
No credit card required · Recruiter intelligence + ATS analysis
ATS terminology
Hand-curated by role. These aren't generic keywords, they're the language recruiters and ATS systems weight most for this specific role.
Recruiters and ATS systems screen for these specific terms. Missing them quietly removes candidates from consideration.
Strong action verbs that signal ownership and outcome. Generic language reads as junior or inflated.
Searchable skills
These are the named tools, frameworks, and concepts recruiters search for explicitly. Missing the relevant ones quietly removes you from consideration.
Only list what you've actually shipped or used. ATS systems reward keyword alignment, but recruiters discount unsupported claims , cross-reference each skill in at least one bullet.
Common mistakes
Project bullets without business impact
No experimentation methodology
Before / after
Each rewrite shows the recruiter signals added and the approximate ATS lift.
Before
Built churn prediction model using Python and scikit-learn.
After
Designed and shipped churn prediction model (logistic regression, 18 features) used by retention team to prioritize outreach. Lifted save rate by 11% across 240K monthly at-risk users; ARR impact: $2.1M annualized.
Why this is stronger
Translates technical work into business impact, what hiring managers actually screen on.
Recruiter signals added
Get an ATS score against role-specific terminology, formatting risk detection, and a recruiter-readability breakdown, free.
Free plan available · No credit card required
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