Maddy Jones is a data engineering manager with eight years of experience turning messy, domain-specific datasets into production-ready pipelines and analytics. Trained in linguistics and political science before pivoting into programming, she blends strong statistical intuition with hands-on engineering—Python, R, SQL, Docker, Kubernetes and GCP—to ship reproducible ML and data products. At Sayari she progressed from data engineer to manager after building scalable data platforms, and earlier at Ipsos she halved processing time by reworking imputation and rapidly learned R and Shiny to deliver analytical tools. Her background in research and law gives her an uncommon strength for explaining technical work to nontechnical stakeholders and for handling noisy, real-world data. She’s also pursued machine learning on the side—contributing to fake-news detection models and earning top grades in NYU’s Bridge to Tandon/CS master’s coursework—so she pairs leadership with continuous hands-on learning.
8 years of coding experience
6 years of employment as a software developer
Bridge to Tandon Masters Prerequisite Program, Computer Science, Bridge to Tandon Masters Prerequisite Program, Computer Science at New York University
Political Science, Political Science at Université libre de Bruxelles
Bachelor of Arts (B.A.), Linguistics/Political Science, Bachelor of Arts (B.A.), Linguistics/Political Science at University of Pittsburgh
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