Data Scientist CV Example & Writing Guide
A data scientist CV should read like a research narrative with business outcomes. Highlight model choices, data scale, and the decisions your work enabled.
Recommended CV structure
Summary emphasizing ML/statistics domain
Technical skills: languages, libraries, cloud ML stack
Projects with model metrics and business KPIs
Experience with data pipelines and experimentation
Publications or talks (if any)
Education and certifications
ATS keywords to include
Use these terms naturally in your summary, skills, and experience sections. Our ATS checker scans for role-relevant keyword density and context.
Quantified bullet examples
Built a churn-prediction model with 87% precision, reducing customer attrition by 12% in the first quarter.
Designed an A/B testing framework used by 5 product teams to validate 30+ experiments per quarter.
Created NLP pipeline to classify support tickets, cutting average response time by 25%.
Other roles
Interview process guides
Know the loop before you walk in. See typical stages for these companies.