Data Scientist Resume Example

Professional Summary

Applied Data Scientist with 6 years building and deploying ML models in production at scale. Expert in Python, scikit-learn, and cloud ML platforms. Delivered models generating $4.8M in measurable revenue impact and reducing operational costs by $1.2M.

Work Experience

• Built XGBoost churn prediction model achieving 91% precision — early intervention program retained 340 accounts worth $2.6M ARR
• Developed NLP sentiment pipeline processing 80K customer support tickets daily, reducing manual tagging from 3 days to 4 hours
• Deployed recommendation engine on AWS SageMaker serving 4M+ users — increased average order value by 14%
• Reduced customer acquisition cost by 22% by building lookalike audience model for paid social campaigns
• Built A/B testing framework adopted by 5 product teams — standardized statistical significance testing across the org
• Mentored 3 junior data scientists in ML engineering best practices; team's model deployment velocity increased 3×

Core Skills