Summary
Rhodes Unci is a data-oriented leader with 13+ years building growth, experimentation and decision science capabilities across fast-moving SaaS teams, now directing Decision Science at DocuSign. He specializes in turning messy event data and CDP foundations into reliable causal measurement, experimentation platforms, and automated bidding systems that improve acquisition efficiency and inform budget allocation. Rhodes has repeatedly led 0-to-1 product launches—CDPs, SDK consolidations, and in-house ad bidding engines—while embedding data contracts and instrumentation that boosted data accuracy and cut costs. Equally comfortable with Bayesian and causal-forest methods as product discovery and cross-functional execution, he blends hands-on modeling with building teams and operational systems. Based in Redwood City with an MIMS from UC Berkeley and a background in UX design from IIT Guwahati, he brings a rare mix of design sensibility, analytics rigor, and production-grade product delivery.
13 years of coding experience
7 years of employment as a software developer
MIMS Information Management and Systems, MIMS Information Management and Systems at UC Berkeley School of Information
B.Des Design, B.Des Design at Indian Institute of Technology, Guwahati
Delhi Public School, Bokaro