TechEntry-level (0–2 years)
Data Scientist resume example — Entry-level (0–2 years)
Sample summary for Owen Chen
Data science MS graduate with strong ML fundamentals, a published Kaggle solution ranked top 4%, and 1 production model internship. Fluent in the full ML pipeline from EDA to deployment. Looking for a first industry role where I can apply rigorous methods to real business problems.
Key skills
Pythonscikit-learnTensorFlowpandasSQLJupyterStatisticsFeature EngineeringA/B TestingMatplotlib
Sample experience
Data Science Intern
Jun 2024 – Aug 2024
NovaMed · Minneapolis, MN
- •Trained a patient readmission risk model with 83% AUC, deployed to production and used by 12 clinical staff
- •Reduced feature engineering pipeline runtime from 4 hours to 22 minutes by vectorizing pandas operations
- •Presented model findings to a 20-person cross-functional team, securing buy-in for expanded deployment
Graduate Research Assistant
Sep 2023 – May 2024
Duke University CS Dept. · Durham, NC
- •Co-authored paper on time-series anomaly detection accepted to workshop at ICML 2024
- •Ran 30+ experiments comparing 8 models on benchmark datasets; documented findings in reproducible Jupyter notebooks
Tips for your Data Scientist resume
Entry data science resumes should show end-to-end ML pipeline skills: problem framing, data prep, feature engineering, modeling, evaluation, and deployment. Include Kaggle rankings or competition placements. Model performance metrics (AUC, F1, RMSE) in your bullets demonstrate you understand what 'good' looks like.
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