Data Scientist Resume Example
A data scientist resume should prove business impact, not just models. Lead with the decision your work changed and the metric it moved.
Professional summary example
Data scientist with 4+ years turning messy data into shipped models. Built a churn model that cut attrition 12% and drove $1.4M in retained revenue.
ATS keywords recruiters scan for
Work the relevant ones into your resume — ATS matches on literal terms.
PythonSQLMachine LearningPandasscikit-learnA/B TestingStatisticsData VisualizationTensorFlowFeature EngineeringExperimentationTableau
Strong bullet point examples
- Built a churn-prediction model (AUC 0.89) that cut attrition 12% and retained $1.4M ARR.
- Designed an experimentation framework adopted by 5 teams, shortening test cycles from 3 weeks to 5 days.
- Productionized a demand-forecasting model that reduced stockouts 18%.
- Automated a reporting pipeline in Python, saving the team ~20 hours/week.
- Presented findings to executives, turning analysis into a roadmap bet that lifted revenue 9%.
Resume tips
- Pair every model with the business metric it moved — recruiters skim for impact.
- List the exact libraries and tools in the job description; ATS matches literally.
- Show experimentation and statistics, not just model names.
Turn this into your resume
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