Data Scientist Resume Template
A data scientist resume is judged on business impact and statistical rigor in equal measure. Pair each model or analysis with the decision it drove and the dollars or users it moved — then list the techniques and tools underneath.
Example bullets for a Data Scientist resume
Recruiter-grade phrasing you can adapt — every bullet quantifies impact.
Built churn prediction model (AUC 0.91) deployed via FastAPI; targeted retention saves recovered $2.1M ARR over 12 months.
Reduced fraud false-positive rate 41% using gradient-boosted ensemble, saving the operations team ~80 review hours per week.
Designed and analyzed pricing experiment across 1.2M users that lifted gross margin 6.4%.
Top skills for Data Scientist resumes
ATS systems search for these terms — include the ones you genuinely have.
Recommended templates
All DexterCV templates are ATS-tested and free to start.
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A clean, recruiter-tested layout that ATS systems parse cleanly.
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Pick a template
Choose one of the recommended layouts above — all free, all ATS-friendly.
Add your content
Use the bullet examples as a starting point and personalize with your real numbers.
Scan and refine
Run your resume through the DexterCV ATS scanner to score keyword match and formatting.
Frequently asked questions
Should a data scientist resume include Kaggle?
Only if you have meaningful placements or notebooks that showcase real technique. Otherwise focus on shipped, business-facing work.
PhD vs industry projects on a data science resume?
Industry impact wins for industry roles. Lead with deployed models and measurable business impact; PhD/research goes lower unless the role is research-heavy.
How technical should the skills section be?
Specific. List frameworks, libraries, infra, and statistical methods — not generic terms like "machine learning". ATS keyword match rewards specificity.
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