Summary
Noah Newberger is a Director of Data Science with a decade of experience building analytics and cloud-first solutions in financial services and regulatory environments. He combines hands-on machine learning and Python expertise with practical Azure engineering—having led migrations, built Synapse and Functions pipelines, and rapid prototypes that bridge research and production. At Caribou he progressed from Lead to Director, while concurrently publishing academic research and running independent research projects at Oeste Corp, signaling a strong curiosity-driven approach to applied problems. His background in economics and investment operations informs rigor in causal and panel-data analysis, and he’s experienced managing and mentoring analytics teams and interns. Colleagues rely on him for translating messy data (web scraping, PDFs, Excel) into auditable models and repeatable pipelines that meet both technical and policy needs.
10 years of coding experience
7 years of employment as a software developer
Data Science Certification, Data Science, Data Science Certification, Data Science at Georgetown University School of Continuing Studies
Master's Degree, International Economics and Finance, First Year, Master's Degree, International Economics and Finance, First Year at Brandeis International Business School
Bachelor’s Degree, Economics, Bachelor’s Degree, Economics at Brandeis University