ATSGRADE
← All job titles
ATS KeywordsUpdated for 2026

Data Scientist Resume Keywords for ATS

Data scientist resumes are scanned for modeling depth and the ML stack. Include the keywords below that match your real experience.

Applicant tracking systems rank your resume by how closely it matches the job description. Below are the keywords ATS software and recruiters look for on a data scientist resume. Use the ones that genuinely apply to you, woven naturally into your skills and experience sections — never stuffed.

Core skills

  • Machine learning
  • Statistical modeling
  • Predictive analytics
  • Feature engineering
  • Natural language processing
  • Deep learning
  • Data mining
  • Experimentation

Tools & technologies

  • Python
  • R
  • SQL
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Pandas
  • Spark

Methodologies

  • A/B testing
  • MLOps

See which of these keywords you're missing

Paste a job description into ATS Grade and it shows exactly which keywords your data scientist resume is missing, plus an instant ATS score and a 12-point report — free.

Analyze my resume free

How to use these keywords

  • Only include keywords that reflect real skills and experience — honesty beats keyword stuffing.
  • Mirror the exact wording of the job description when it matches your background.
  • Spell out acronyms at least once (e.g. "Search Engine Optimization (SEO)") so the ATS catches both forms.
  • Put your strongest keywords in your skills section and in your most recent role.