Data Scientist Resume Example & Writing Guide

Start your resume with a compelling summary. Here are proven examples you can adapt:

Use these achievement-focused bullet points as inspiration. Replace the numbers with your own metrics.

• Built recommendation engine using collaborative filtering and deep learning, increasing average order value by 18% ($8M annual revenue impact)
• Developed customer churn prediction model with 92% accuracy, enabling proactive retention campaigns that reduced churn by 25%
• Designed and analyzed 50+ A/B experiments using Bayesian methods, informing product decisions affecting 10M+ users
• Built NLP pipeline for sentiment analysis processing 100K+ customer reviews daily, providing real-time brand health monitoring
• Created demand forecasting model using time-series analysis (ARIMA, Prophet), improving inventory planning accuracy by 30%
• Trained and deployed computer vision model for quality inspection, reducing manual inspection time by 70% with 98% accuracy
• Built end-to-end ML pipeline using MLflow, automating model training, evaluation, and deployment to production
• Developed fraud detection system using ensemble methods, identifying $5M+ in fraudulent transactions with 0.1% false positive rate
• Presented data-driven insights to C-suite executives through interactive Tableau dashboards tracking 25+ business KPIs
• Mentored 3 junior data scientists and led weekly knowledge-sharing sessions on advanced ML techniques

Include these skills on your resume to pass ATS screening and impress recruiters:

Recommended Certifications

These certifications can strengthen your data scientist resume:

Frequently Asked Questions