Summary
Alex Shearer is a Machine Learning Engineering Manager in the San Francisco Bay Area with nine years of experience applying data-driven methods to drive business outcomes. At Square he leads an ML/DS team focused on optimizing marketing initiatives, managing with transparency, trust, and empathy while prioritizing operational excellence. His background spans product-facing data science roles at LinkedIn and Doximity where he built production ML pipelines in Spark, Python, and Airflow and translated technical results for non-technical stakeholders. Alex holds a Ph.D. in Physical Chemistry from UC Berkeley, bringing a rigorous experimental and analytical mindset to model development and evaluation. He combines hands-on modeling and production experience with people leadership, and his early work in automated lab data pipelines and published research hints at a deep appreciation for measurement, reproducibility, and clear communication.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at University of California, Berkeley
Bachelor's Degree, Chemistry, Bachelor's Degree, Chemistry at University of North Carolina at Chapel Hill
English, Spanish