Summary
Javier Gonzalez is a Data Specialist with 11 years of experience applying advanced analytics, statistics, and machine learning to large-scale scientific datasets, currently driving data analysis for particle astrophysics at the Center for Astrophysics | Harvard & Smithsonian. He has a PhD in Physics and a strong publication record (20+ papers) with frequent international presentations, demonstrating both deep domain expertise and clear scientific communication. Javier has led cross-functional teams of ~20 people distributed globally, combining hands-on C++/Python development with data engineering for datasets ranging from terabytes to hundreds of terabytes. His work spans predictive modeling, data quality assurance, and custom tooling to process high-throughput experimental data, reflecting an ability to take research-grade methods into production-like environments. Open to roles in Boston, Boulder, New York, or Philadelphia, he is keen to apply his physics-rooted quantitative intuition to new complex-data problems beyond astrophysics. A physicist at heart who “likes working with data,” he brings scientific rigor, large-scale data handling experience, and collaborative leadership to applied data science and consulting roles.
11 years of coding experience