Header
Name, target title, email, phone, location, LinkedIn, and portfolio if useful.
Data Scientist example
See the full resume example with bullets and mistakes.
Summary examples
Write a sharper opening section.
Skills page
Choose ATS-friendly skills and keywords.
Template page
Use a role-specific resume structure.
Resume builder
Build and export a clean PDF.
Resume templates
Compare ATS-safe and modern layouts.
Resume examples
Browse the full job-title library.
ATS checker
Check readability and keyword coverage.
Template structure
ATS-friendly data scientist resume layout
This template keeps the sections predictable so job portals and recruiters can quickly find the details that matter.
Summary
Data scientist with experience building predictive models, evaluating experiments, and communicating insights to product and business teams.
Skills
Python, SQL, Pandas, Scikit-learn, Machine Learning, Statistics, Experimentation, Data Visualization
Experience
Built a churn prediction model that identified 68% of high-risk accounts for customer success outreach.
Education and certifications
Add degrees, credentials, or training that support data scientist applications.
Use one clear H1 equivalent
On the resume itself, make your name and target title easy to identify.
Keep headings standard
Use Summary, Skills, Experience, Education, Projects, and Certifications.
Export after checking
Run the ATS checker before downloading the final PDF for job portals.
Why this template works
The template is built around a clean hierarchy: summary first, skills next, then experience bullets that prove the role fit. It gives recruiters a fast scan path and gives ATS software text-based headings and keywords to parse. Use a more visual template for direct sharing only after you keep an ATS-safe version ready for online applications.