Business result
Show what improved: conversion, retention, risk, revenue, forecast accuracy, or savings.
Analytics, ML, experimentation, product data
Data Scientist Resume Templates
Data scientist resume templates for analytics, machine learning, product data, and model work, with space for both technical skills and business results.
Technical work
Show the models, experiments, pipelines, dashboards, or tools you used.
Communication
Show how your analysis helped a team make a decision.
A data resume should connect analysis to a real decision
Start with the job. Analytics roles need clear business results. Machine learning roles need technical detail. Project-heavy applications need the method, tools, and result to be easy to follow.
Analytics and online applications
Use Modern or Monocrom when applying through job portals or when tools, dashboards, and results need to be clear.
Projects and early data roles
Use New Age when projects, coursework, internships, and analysis work need a modern but simple layout.
Skills and project links
Use Sidebar when Python, SQL, machine learning, dashboards, certifications, or links need to stand out.
Templates for analytics, machine learning, and project-heavy resumes
Modern
Best data science default
Clean layout for analytics, product data, machine learning, and experimentation roles.
Monocrom
Technical depth
Good when you need room for tools, pipelines, models, metrics, and work history.
New Age
Early-career or project-heavy data roles
Good for students, analysts moving into data science, and project-based applications.
Sidebar
Skills and links need emphasis
Helpful when tools, projects, certifications, GitHub, or portfolio links should be easy to find.
ATSPDF
Modern
Low-risk modern template for tailored professional resumes with cleaner styling.
Use for data science
ATSPDF
Monocrom
Minimal ATS-friendly template for clean, versatile, modern professional resumes.
Use for data science
ATSPDF
New Age
Modern ATS-friendly template for tech, startup, and digital-first roles.
Use for data science
CreativePDF
Sidebar
Accent-line single-column template for clean structure with stronger visual presence.
Use for data scienceShow the problem, method, tools, and result
Show both the technical work and why it mattered.
A data resume should not be only a tool list. Use the template to show the problem, the method, the tools, and the result. This helps a recruiter understand the work even if they are not a data scientist.
Do
Connect each model, analysis, dashboard, or pipeline to a clear result.
Don't
List tools or model names without explaining what the work helped the business do.
Quick FAQ
What should I include on a data scientist resume?
Include the problem, method, tools, data work, and result. Keep the skills list focused on the role.
Should data science projects go on the resume?
Yes, if they are relevant to the job. Keep projects with a clear method, tools used, and result.