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DataData Scientist resume example and template
Data scientists build models and experiments that turn data into predictions and product features. Here is what a strong Data Scientist resume includes, with sample bullet points and the keywords that get past applicant tracking systems.
Key skills for a Data Scientist resume
- Python
- Machine learning
- Statistics
- SQL
- pandas
- Model evaluation
- Experimentation
- Data storytelling
Data Scientist resume bullet point examples
Use these as a starting point and swap in your own numbers and tools.
- Built a churn prediction model that improved retention targeting and recovered an estimated 8% of at risk accounts.
- Designed and ran A/B tests that validated a recommendation change, raising click through by 15%.
- Reduced model training time by 50% by reworking the feature pipeline.
- Translated a business question into a model and shipped it to production with monitoring.
ATS keywords to include
Applicant tracking systems scan for role specific terms. Work the relevant ones below into your resume naturally.
- data scientist
- machine learning
- Python
- A/B testing
- predictive modeling
- feature engineering
- SQL
- statistics
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Frequently asked questions
What should a Data Scientist resume include?
A Data Scientist resume should highlight your most relevant skills such as Python, Machine learning, Statistics, a few quantified achievements, and keywords from the job description so it passes applicant tracking systems.
How long should a Data Scientist resume be?
One page is best for most candidates, and up to two pages if you have several years of relevant experience. Keep it focused on achievements that match the role.