Eowyn Baughman is a senior data scientist based in Seattle with eight years of experience applying Python, SQL, and applied statistics to turn structured and unstructured data into actionable insights across retail and renewable energy. She currently leads analytics work at REI after building product-focused modeling and automation at Zulily and pioneering wind-data processes at GE that cut analysis cycles from months to weeks. Her background in atmospheric science (MS, Univ. of Washington; BS, Cornell) underpins deep domain expertise in numerical modeling and uncertainty quantification developed at NCAR, NOAA, and 3TIER. Eowyn combines hands-on engineering—end-to-end Python solutions and process improvements—with client-facing leadership, having organized analytics workshops and trained teams. She also blends international project experience (North America and coordination with Goldwind International) with a knack for translating complex physical models into commercial analytics. Colleagues rely on her to bridge science and product delivery while improving internal processes and documentation.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Atmospheric Science, Master of Science - MS, Atmospheric Science at University of Washington
Bachelor's of Science, Atmospheric Science, Bachelor's of Science, Atmospheric Science at Cornell University
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