Summary
Sebastian Daza is a senior data scientist and technical lead with a decade of experience turning data into decisions across healthcare, tech, and academia. Based in Barcelona, he combines a PhD in Demography and Sociology with hands-on expertise in PySpark, Databricks, ML, experimentation, and data visualization (Tableau) to deliver scalable analytics and decision support. At Teladoc Health and Docplanner, he built attribution and LTV models, led geo-experiments and A/B testing, and engineered end-to-end data pipelines, including a prompt-driven LLM workflow with Azure OpenAI for clinical notes. He has led research and teaching roles, including as a lecturer at Universidad Carlos III de Madrid and as director of the Center for Applied Social Studies at Pontificia Universidad Católica de Chile, bridging rigorous academic methods with industry needs. His career spans academia and industry, with impactful work translating complex sociological insights into measurable business outcomes. He is known for turning abstract insights into practical, auditable solutions and for mentoring teams through complex data projects.
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
Bachelor's degree, Sociology, Bachelor's degree, Sociology at Pontificia Universidad Católica de Chile
Spanish, English