Chris Conley is a Senior Data Engineer with 14 years of experience blending biostatistics, machine learning, and product-focused data engineering to drive better business decisions. He has built and productionized forecasting and pricing systems at scale (97% directional accuracy) using Metaflow, Nixtla, and AWS SageMaker and migrated MLOps patterns to reduce CI/CD build times by over 50%. Comfortable moving between hands-on model development, ETL orchestration, and technical product management, he has led cross-functional teams and run experiments that enabled rapid model iteration across hundreds of client properties. His academic roots as a PhD in Biostatistics underpin a track record of novel statistical methods (spaceMap) and bioinformatics publications, reflecting a rigorous approach to high-dimensional problems. Based in Utah, he brings a rare mix of scientific rigor and pragmatic engineering that accelerates data products from research to reliable production.
14 years of coding experience
14 years of employment as a software developer
PhD, Biostatistics, PhD, Biostatistics at University of California, Davis
Bachelor's Degree, Bioinformatics, Bachelor's Degree, Bioinformatics at Brigham Young University
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