Data Scientist Resume Example & ATS Keywords
Worked data scientist resume example: professional summary, achievement bullets, core skills, and the ATS keywords recruiters filter on — plus writing tips. Free.
Build this resume freeExample professional summary
Data scientist shipping ML to production. Deployed a churn model that lifted retention 8% and built feature pipelines processing 200M events/day with monitored drift and retraining.
Example achievement bullets
- Deployed a churn-prediction model (XGBoost) that lifted 90-day retention 8% across 500k users.
- Built feature pipelines on 200M daily events with automated drift detection and monthly retraining.
- Ran 20+ A/B tests end-to-end; killed two 'sure thing' features that would have cut engagement 5%.
Core skills to list
- Python
- scikit-learn / XGBoost
- SQL
- Machine learning
- Experiment design
- MLOps basics
- Spark / big data
- Statistics
ATS keywords recruiters filter on
- deep learning
- NLP
- model deployment
- feature engineering
- TensorFlow / PyTorch
- causal inference
Writing tips
- Lead with deployed models and their business lift — notebooks that never shipped don't rank.
- Separate 'built' from 'deployed': production ML experience is the strongest differentiator.
- Show experiment literacy (A/B testing, causal inference) — it's screened as often as ML itself.
- Keep the theory light; one line on your degree, all remaining space on shipped impact.