Data Scientist resume
Data Scientist resume: examples, skills & ATS keywords
DS resumes need the modelling stack plus business impact. Show the problem, the model, and the measurable result in production.
Top skills & ATS keywords for a Data Scientist
These are the terms recruiters and applicant tracking systems most often scan for. Include the ones you genuinely have — worded the way the job description words them.
- Python
- machine learning
- SQL
- pandas
- scikit-learn
- TensorFlow
- PyTorch
- statistics
- A/B testing
- feature engineering
- MLOps
- data pipelines
How to write a standout Data Scientist resume
- Lead with shipped models and their impact, not coursework.
- Quantify model performance and business value (revenue, retention, cost).
- Mirror the role's stack — deep learning vs. classical ML vs. analytics.
- Never invent experience — recruiters and interviews catch it. See AI CV tailoring without lying and how ATS keywords work.
Let Ryser tailor your Data Scientist CV to any job — free.
Tailor my CV