Alexander Nussbacher is a Head of Data with eight years of experience applying machine learning and economic modeling to product analytics, pricing, and customer behavior. He has led data teams and built end-to-end ML systems across startups and scale-ups—from founding an AI retail search startup funded by Entrepreneur First to shaping analytics and recommendation engines at Appear Here and Subdial Watches. His background in economics and statistics (UC Berkeley) gives him a strong grounding in consumption theory and LTV modeling, which he pairs with hands-on infrastructure, testing, and deployment experience. Notably, his work has been featured in outlets like Bloomberg and Hypebeast, reflecting a rare blend of technical rigor and consumer-facing product impact. Based in Edinburgh, he combines academic-style causal thinking with product-first execution to turn insights into revenue-driving features.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree Economics Statistics, Bachelor's degree Economics Statistics at University of California, Berkeley
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Contributions:13 commits, 13 pushes in 6 months
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