Data scientist resumes are judged on business impact, not model complexity. A well-tuned model that never shipped is worth less than a simple one that changed a real metric — lead with the latter.
A purple two-column layout built directly for data scientists and ML practitioners — literal category match.
Visual proficiency bars make it easy to scan your ML/stats stack alongside project narrative.
The hard skills, tools, and certifications ATS software scans for on data scientist resumes.
Only if you're early-career and lack production experience — once you have shipped work, real business impact outweighs competition rankings.
Lead with plain-language impact, keep technical depth in a skills section — many data science resumes are first screened by recruiters, not scientists.