Data Science resume guide
22+ ATS Keywords for Data Science Resumes
Data science roles blend stats, ML, and business outcomes. Hiring managers scan for specific libraries, model types, and measurable impact — always quantify what your models did (revenue, accuracy, cost saved).
Hard skills ATS filters scan for
Copy these verbatim from the job description you’re applying to — matching the exact phrasing beats synonyms. If the job says “Kubernetes”, don’t write “K8s”.
Tools & platforms
Tool names are high-signal keywords. Recruiters searching their ATS often filter by specific platform experience — list every relevant one.
Certifications that matter
For many data science roles, ATS filters auto-reject resumes missing the exact cert name. List yours in both the abbreviation and the full name so both matches hit.
- Google Cloud Professional Data Engineer
- AWS Certified ML Specialty
- Databricks Certified ML Engineer
Soft skills worth calling out
Don’t just list these — show them in bullets. “Communicated” alone is weak; “Presented Q3 roadmap to 40-person engineering org” is strong.
Power verbs for data science bullets
Start every bullet with one of these. Avoid “responsible for” or “helped with” — they signal passive contribution.
Common data science job titles
- Data Scientist
- Senior Data Scientist
- ML Engineer
- Applied Scientist
- Research Scientist
Stop losing interviews to ATS filters.
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