Summary
Chris Prinz is a data science leader based in New York with 9 years of experience blending product, data science, and technology to drive data-driven decisions. He currently serves as Data Science Manager at Pave, leading a team that generates insights to help businesses plan, communicate, and benchmark fair and equitable compensation. Previously he wore multiple hats at Pave as a Data Scientist and, earlier, as a Product Manager, building a track record of turning analytics into product decisions. His career also includes product management at Plato and IoT software engineering/data science at Accenture, where he delivered ML proofs-of-concept and enterprise solutions for Fortune 100 clients. He holds a UT Austin BBA in MIS, writes about product development, machine learning, and design at chrisprinz.me, and is open to conversations about product, design, urban development, economics, or The Future—please avoid outreach for software development services or other roles.
9 years of coding experience