Summary
Samuel Scarano is a Data Science Lead in New York with 9 years of experience turning research into scalable ML and data systems. He currently leads data science at Sparks & Honey, guiding end-to-end ML initiatives from data collection to deployment in a fast-paced, client-focused environment. Previously, he honed MLOps and tooling at Migo, and at WGSN he built a 380-class product classifier, modernized ETL with fault-tolerant queuing, scaled a 10-node Solr cluster for low-latency queries, and implemented cost-efficient data-labeling approaches. His early career includes senior software development at athenahealth and scientific research at BBN Technologies, reflecting a strong blend of software craftsmanship and research rigor. He holds a Master’s in Computer Science from Northeastern and a Bachelor’s in CS from Cornell, grounding his leadership in solid academic training.
10 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cornell University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Northeastern University