Data Scientist Resume Example

“Data scientist with 5+ years applying statistical modeling, machine learning, and advanced analytics to drive business decisions. Expert in Python and SQL with experience deploying production ML models that generate measurable revenue impact across e-commerce, fintech, and healthcare domains.”

• Built a churn prediction model with gradient boosting (89% AUC). The retention team used it to save about $3.2M annually
• Designed and analyzed 40+ A/B tests with proper statistical methodology. Cumulative conversion rate improvement was around 15%
• Built a recommendation engine with collaborative filtering that serves 2M+ users. Average order value went up 22%
• Wrote an NLP pipeline for sentiment analysis on 500K+ customer reviews. Catches product issues about 3 weeks faster than the old manual process
• Set up anomaly detection for financial transactions. Flagged $1.5M in fraud in its first quarter running
• Responsible for the weekly data science review meeting where we present findings to product and marketing stakeholders
• Worked with the data engineering team to get clean feature tables set up in Snowflake for model training
• Maintained 8 production models including retraining schedules, monitoring dashboards, and performance alerts
• Wrote Python notebooks and internal blog posts documenting analysis methodology so other team members could reproduce the work

Include these keywords in your resume to pass Applicant Tracking Systems.

• Google Professional Data Engineer
• IBM Data Science Professional Certificate