Summary
Soren Scott is an experienced research coder and informatics developer with 12 years building NLP, machine learning, and semantic web solutions for scientific data discovery and interoperable web services. Based in Boulder, he blends deep geospatial expertise—PostGIS, GDAL/OGR, ESRI toolchains—with modern Python backend work (Pyramid, SQLAlchemy, MongoDB, ElasticSearch) to deliver ETL pipelines, metadata transformation, and self-describing APIs. He has led R&D projects like an NLP prototype to surface long-tail Earth observation datasets and implemented DataONE/Tier 1 member node functionality for research data portals. Comfortable across ops and dev (Flask, Puppet/Vagrant, AWS) and with federal partners, Soren pairs practical production skills with an eye for reproducible, documented data workflows.
12 years of coding experience
13 years of employment as a software developer
The University of Arizona