Data Scientist Resume Example

Sam Park
sam.park@email.com | (650) 555-0261 | linkedin.com/in/sampark | github.com/sampark-ds

SUMMARY
Data Scientist with 5 years building and deploying ML models in production. Led model that generated $3.2M in incremental revenue; published 2 internal research papers on NLP-based customer intent detection.

EXPERIENCE

Senior Data Scientist — ShopAI, Palo Alto, CA | Feb 2021 – Present
• Built product recommendation model (collaborative filtering + content embedding) increasing average order value by 9% ($3.2M/year)
• Deployed NLP-based customer intent classifier reducing misrouted support tickets by 44%
• Established ML platform standards (MLflow + SageMaker) used by 8-person DS team
• Mentored 2 junior scientists; led weekly ML reading group

Data Scientist — HealthMetrics, San Francisco, CA | Jul 2018 – Jan 2021
• Developed patient readmission risk model (XGBoost, AUC 0.84); deployed to 12 hospital clients
• Built automated feature engineering pipeline reducing model iteration cycle from 2 weeks to 3 days
• Ran causal inference analysis (propensity score matching) for clinical trial; findings presented to FDA

EDUCATION
M.S. Statistics — Stanford University | 2018
B.S. Mathematics — UCLA | 2016

SKILLS
Languages: Python, R, SQL | ML: scikit-learn, XGBoost, TensorFlow, PyTorch | Big Data: Spark, Hadoop, BigQuery | MLOps: MLflow, SageMaker, Docker | Visualization: matplotlib, seaborn, Plotly