Data Scientist Resume Example
Data scientist resumes need to balance technical depth with business impact. Show what models you built AND what they achieved for the business. ATS systems look hard for specific tools and frameworks.
Sample Professional Summary
“Data scientist with 5 years in NLP and recommender systems. Built fraud detection model saving $4M annually at FinCo. PhD in Statistics from UCL. Strong in Python, PyTorch, and production ML pipelines.”
Use this as a starting point — customise it with your own metrics and experience.
Sample Work Experience Entry
- ›Built fraud detection model (XGBoost + neural network) achieving 94.3% precision, saving $4M annually
- ›Developed real-time recommendation engine serving 8M users, increasing CTR by 18%
- ›Led team of 3 data scientists, establishing MLOps best practices and model monitoring framework
What to Include in a Data Scientist Resume
- Programming languages: Python, R, SQL (be specific)
- ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
- Big data tools: Spark, Databricks, Hadoop
- Business impact of your models (revenue, cost savings, accuracy improvement)
Expert Tips for Data Scientist Resumes
List every ML/data tool explicitly — ATS scans for Python, TensorFlow, SQL as exact keywords
Quantify model performance: accuracy, precision/recall, revenue impact, cost savings
Include a GitHub link with your portfolio projects
Separate 'Skills' into categories: Languages, ML/AI, Cloud, Databases, Tools
More Resume Examples
Build Your Data Scientist Resume Now
Use our AI-powered builder. Free to start — takes under 10 minutes.
Start Building Free