Data Scientist Resume Example & Writing Guide

Create a standout data scientist resume. Includes ML/AI resume examples, key technical skills, and tips to showcase predictive modeling experience.

ATS-Optimized Expert-Written Updated 2026

Build Your Data Scientist Resume Check ATS Score Free

Data Scientist Resume Example

Here's a professional data scientist resume example that you can use as a reference. This example highlights the key sections and content that hiring managers look for.

Alex Johnson

Data Scientist

New York, NY | alex.johnson@email.com | (555) 123-4567 | linkedin.com/in/alexjohnson

Professional Summary

Data Scientist with 5+ years of experience applying machine learning, statistical modeling, and advanced analytics to solve complex business problems. Skilled in building end-to-end ML pipelines from data wrangling to production deployment. Delivered $15M+ in measurable business impact through predictive models and data-driven strategies.

Work Experience

Senior Data Scientist

2022 – Present

ABC Corporation, New York, NY

•Built a customer churn prediction model with 92% accuracy, saving $4.2M annually in retention costs
•Developed an NLP-powered recommendation engine that increased cross-sell revenue by 28%
•Designed and executed 50+ A/B tests, driving data-informed decisions across product and marketing teams

Data Scientist

2019 – 2022

XYZ Company, Chicago, IL

•Reduced data processing time by 70% by migrating ETL pipelines from Pandas to PySpark on AWS EMR
•Published 3 internal research papers and presented findings to C-suite executives quarterly

Skills

Python • R • SQL • Machine Learning • Deep Learning • TensorFlow • PyTorch • Scikit-learn • Natural Language Processing • Computer Vision • Statistical Modeling • Data Visualization • Tableau • Spark/PySpark • A/B Testing

Education

Master of Science in Data Science

Master of Science in Statistics

Bachelor of Science in Computer Science or Mathematics

Use This Template in Resume Builder

Data Scientist Resume Summary Examples

Your resume summary is the first thing hiring managers read. Here's a strong example for adata scientist with 5+ years of experience:

Good Example

“Data Scientist with 5+ years of experience applying machine learning, statistical modeling, and advanced analytics to solve complex business problems. Skilled in building end-to-end ML pipelines from data wrangling to production deployment. Delivered $15M+ in measurable business impact through predictive models and data-driven strategies.”

Avoid This

“Hardworking data scientist looking for a challenging position where I can utilize my skills and experience. I am a team player with excellent communication skills.”

Why the first example works: It includes specific years of experience, quantified achievements, technical skills, and certifications — all things ATS systems and hiring managers look for.

Work Experience Bullet Points

Here are powerful, metrics-driven bullet points for a data scientist resume. Notice how each one starts with an action verb and includes specific numbers:

Built a customer churn prediction model with 92% accuracy, saving $4.2M annually in retention costs
Developed an NLP-powered recommendation engine that increased cross-sell revenue by 28%
Designed and executed 50+ A/B tests, driving data-informed decisions across product and marketing teams
Reduced data processing time by 70% by migrating ETL pipelines from Pandas to PySpark on AWS EMR
Published 3 internal research papers and presented findings to C-suite executives quarterly

Pro Tip: Use the formula: Action Verb + Task + Quantified Result. For example: “Managed” + “team of 12 engineers” + “delivering project 20% under budget.”

Key Skills for a Data Scientist Resume

Include these skills on your data scientist resume to pass ATS screening and impress hiring managers:

Python

SQL

Machine Learning

Deep Learning

TensorFlow

PyTorch

Scikit-learn

Natural Language Processing

Computer Vision

Statistical Modeling

Data Visualization

Tableau

Spark/PySpark

A/B Testing

ATS Keywords for Data Scientist Resume

These are the most important keywords that Applicant Tracking Systems scan for in data scientist resumes. Include them naturally throughout your resume:

data scientistmachine learningdeep learningPythonSQLstatistical modelingNLPpredictive analyticsA/B testingTensorFlowPyTorchdata pipelinefeature engineeringSpark

Important: Don't stuff keywords. Use them naturally in your summary, experience, and skills sections. ATS systems can detect keyword stuffing and may flag your resume.

Education & Certifications

Education

Master of Science in Data Science
Master of Science in Statistics
Bachelor of Science in Computer Science or Mathematics

Certifications

Google Professional Data Engineer
AWS Certified Machine Learning – Specialty
IBM Data Science Professional Certificate
TensorFlow Developer Certificate

Expert Tips for Your Data Scientist Resume

Quantify business impact of your models in dollar terms or percentage gains

List specific ML frameworks and cloud platforms (TensorFlow, PyTorch, AWS SageMaker)

Include links to Kaggle profiles, GitHub repos, or published papers

Show end-to-end experience from data collection to model deployment

Highlight A/B testing and experimentation design skills

Data Scientist Salary & Job Outlook

Entry Level

$85K

Median Salary

$108K

Experienced

$165K

Job Outlook

35% growth (2022-2032), much faster than average

Source: BLS 2024

Frequently Asked Questions

What makes a strong data scientist resume?

▼

A strong data scientist resume quantifies business impact of ML models, lists specific tools and frameworks, shows end-to-end project experience, and includes links to code repositories or publications.

Should I include Kaggle on my data science resume?

▼

Yes — Kaggle rankings, competition medals, and published notebooks demonstrate practical ML skills. Include your profile link and highlight notable placements.