# Data Scientist Resumes That Get Past ATS and Into Interviews

Recruiters look for stack, problem-solving, and impact. Your resume needs to show all three in a format that parses correctly. Here's how.

## What to Put on a Data Science Resume

Lead with a short summary: your focus (ML, analytics, experimentation) and what you're looking for. Then experience: 3-5 bullets per role that mix what you built (models, pipelines, analyses), how (Python, SQL, tools), and what changed (accuracy, revenue, decisions).
Use keywords from the job description--Python, R, SQL, TensorFlow, A/B testing, etc.--in your bullets so ATS and recruiters see match. Side projects and publications can go in a short section; link to GitHub or portfolio for depth.

## How to Write Impact Bullets for Data Science

Start with strong verbs: Built, Developed, Led, Improved. Then add the what and the so what. "Built recommendation model that increased engagement by 15%" beats "Worked on recommendations." If you don't have business metrics, use technical outcomes: "Reduced training time by 40%."
Quantify when you can. Recruiters and hiring managers look for evidence that you drive decisions or outcomes, not just run experiments.

## Format and Length for Data Science Resumes

Single-column, clear headings (Experience, Education, Skills, Projects). No tables or graphics in the body--they break ATS. One page for under 5 years; two pages max for senior+. Keep skills relevant to the roles you want; don't list every tool you've touched.
Link to your portfolio or GitHub in the header if you have projects or code to show. Many data science roles value applied work; your resume gets you on the list, your portfolio or repo can get you the call.

## Why FolioX

FolioX gives data scientists an ATS-friendly resume and a place to showcase projects in one place. Clean layout that parses correctly, PDF export, and one profile so recruiters get your resume and your work together.


## FAQ

### What should a data scientist put on a resume?

A short summary, experience with impact bullets (what you built, how, result), education, skills (Python, SQL, ML tools), and optionally projects or publications. Link to GitHub or portfolio if you have one.

### How do I get my data science resume past ATS?

Use single-column layout, clear section headings, and keywords from the job description in your experience bullets. Avoid tables, graphics, and unusual formatting.

### How long should a data science resume be?

One page for under 5 years; two pages max for senior+. Lead with experience and impact; keep education and skills concise. Every line should support the roles you're targeting.

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