Summary
Sebastian Daza is a Senior Data Scientist and technical lead with 11 years of experience applying PySpark, Databricks, experimentation, and causal inference to drive data-informed decisions across health tech, e-commerce, and academia. He holds a PhD in Sociology and Demography and combines rigorous statistical thinking with production-grade ML pipelines—building LTV and multi-touch attribution models, LLM extraction tools, and scalable PySpark packages. Sebastian has led incrementality geo-experiments, complex A/B testing, and hybrid recommendation systems built on hundreds of millions of feedback points, translating research-grade methods into business impact. Based in Barcelona, he’s taught computational social science and led multidisciplinary teams, bridging academic rigor and product delivery while also designing simulation and variance-decomposition analyses that reveal non-obvious drivers of growth and health outcomes.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Sociology, Doctor of Philosophy (PhD) Sociology at University of Wisconsin-Madison
The Data Incubator
Master's degree Sociology, Master's degree Sociology at Pontificia Universidad Católica de Chile
Spanish, English