ATS-optimized resume example for data science roles. See how to structure your machine learning projects, data pipelines, and quantified model performance to pass bot screening and impress recruiters.
Results-driven Data Scientist with 4+ years of experience building machine learning models, data pipelines, and analytics solutions. Proven track record of improving model accuracy, reducing churn, and driving data-informed product decisions.
Senior Data Scientist
DataScale Inc. | Jan 2022 – Present
• Developed a churn prediction model using XGBoost that improved retention by 18%, saving $2.4M annually.
• Built automated data pipelines with Apache Airflow processing 50M+ records daily, reducing pipeline failures by 40%.
• Led A/B testing framework implementation, increasing experiment velocity by 3x across product teams.
Master of Science in Data Science | University of Analytics | May 2021
Bachelor of Science in Statistics | State University | May 2019
Notice how technical skills are grouped into logical categories (Languages, ML Frameworks, Data Engineering, Tools). This structure is perfectly parsed by an ATS.
Single-column layout, standard headings, and text-based PDF export ensure the ATS can parse every section correctly.
Every bullet point includes measurable results: "improving retention by 18%", "processing 50M+ records daily".
Skills section groups ML frameworks, data engineering tools, and programming languages logically.
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