Leigh Schaefer is a Senior Data Scientist based in New York with 12 years of experience turning large, complex datasets into actionable insights across high-energy physics and fintech. Trained as a physicist (PhD) at the University of Pennsylvania and experienced at CERN, she led teams that built bespoke reconstruction algorithms and data frameworks to maximize sensitivity in rare particle searches and set world-leading limits. In industry she designed and deployed end-to-end fraud-scoring pipelines at Alloy—leveraging Airflow, AWS, feature explainability (SHAP), and automated reporting—to identify 10% more high-risk entities than an alpha client’s existing ruleset. Comfortable bridging research rigor and product delivery, she has repeatedly improved engineering processes (e.g., dataset centralization and faster model turnaround) and stepped into interim management to keep teams on track. Leigh combines deep statistical modeling, feature engineering, and production ML deployment with a knack for translating domain specifics into high-impact, client-facing solutions.
12 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Physics (Magna cum laude with honors); Minors in Astronomy and French, Bachelor's degree, Physics (Magna cum laude with honors); Minors in Astronomy and French at Bryn Mawr College
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Pennsylvania
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