Summary
Bruce Skarin is a Senior Data Scientist with 11+ years building end-to-end ML/AI and simulation solutions that translate complex social, operational, and customer data into actionable decisions. He combines deep expertise in agent-based and system dynamics modeling with practical engineering—authoring Python and R packages, building ETL pipelines on Hadoop/Snowflake, and deploying reproducible workflows in Domino and GitLab. His work spans industry and research, from optimizing staffing and data center operations to generating synthetic social networks informed by Twitter data, and he’s led cross-functional teams and inner-source initiatives that scaled reuse across organizations. Grounded by an MS in System Dynamics and a background in proposal- and project-leading research, he brings a rare mix of technical rigor, product-minded delivery, and a proven ability to make models operational for stakeholders. Outside work he channels curiosity into space, EVs, and sustainable tech, reflecting an optimistic drive to apply data for societal impact.
11 years of coding experience
20 years of employment as a software developer
MS System Dynamics, MS System Dynamics at Worcester Polytechnic Institute