Summary
Benjamin Datko is a Data Scientist at Bloomberg Law with 11 years of experience applying machine learning, taxonomy design, and data engineering to legal research. He manages and modernizes classification for 3,500+ taxonomy categories across more than a million legal documents annually, moving systems from rule-based to hybrid ML pipelines to improve accuracy and scalability. His background includes a PhD in Chemistry and postdoctoral research at the U.S. Naval Research Laboratory, where he developed rigorous experimental and computational methods—skills he now applies to annotation workflows and training pipeline design. Benjamin is proficient in Python, SQL, Tableau, and multiple RDBMS, and contributes to open-source projects like NumPyro and PyAgrum, emphasizing reproducibility and documentation. He blends deep domain collaboration with subject-matter experts and engineers to make dense legal content discoverable and actionable. Based in Washington, D.C., he pairs scientific rigor with product-minded execution to drive measurable improvements in legal analytics.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Chemistry, Bachelor of Science (B.S.), Chemistry at Temple University
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at The University of New Mexico
High School Diploma, High School Diploma at Haverford High School