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.
Data Scientist resume example
An illustrative template to adapt — swap in your real roles and figures, and never include a number you can't back up in an interview.
Jordan Taylor
Data Scientist · City, Country · email@example.com
Professional summary
Data scientist with 5 years shipping ML models to production and tying them to business impact. Strong in Python, statistics and MLOps.
Experience
Senior Data Scientist — Company Name · 2021–Present
- Built a churn-prediction model (scikit-learn) that lifted retention 11% via targeted campaigns.
- Deployed a recommendation model serving 500k users, increasing average order value 9%.
- Re-engineered the feature pipeline, reducing model-training time 60%.
- Ran rigorous A/B tests to validate model impact before each full rollout.
Key skills
Python · machine learning · SQL · pandas · scikit-learn · TensorFlow · PyTorch · statistics · A/B testing · feature engineering
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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.
Data Scientist guides
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