Reid Falconer is a Lead Data Product Manager based in Barcelona with 8 years of experience building production ML and data products that improve supply-chain transparency and operational decision-making. He blends hands-on ML engineering and data science—having led forecasting and MLOps at PepsiCo and scalable real-time bidding models at Chartboost—with product leadership at OpenSC, an impact venture co-founded by WWF and BCG. Reid’s work spans end-to-end systems from Bayesian patient-flow analytics and Monte Carlo health-economics tooling to global MLOps frameworks, showing a knack for turning complex models into actionable, auditable products. He is particularly focused on ethical, sustainability-driven applications of data, and has investigated bias in recruitment systems and deployed BI solutions to influence business outcomes. Trained in economics and data science with further AI study at Stanford, he pairs rigorous quantitative thinking with product sensibility to deliver measurable impact.
8 years of coding experience
6 years of employment as a software developer
Artificial Intelligence Professional Program, Artificial Intelligence Professional Program at Stanford University School of Engineering
Master of Commerce (MCom) Economics, Master of Commerce (MCom) Economics at Stellenbosch University
Master of Science (MSc) Data Science, Master of Science (MSc) Data Science at Barcelona School of Economics
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