Summary
Lucas Rosen is a Senior Data Scientist and Tech Lead based in New York with nine years of experience building end-to-end ML solutions across healthcare, life sciences, ad tech, and fintech. He blends deep statistical training from Johns Hopkins with practical engineering skills—deploying production models, designing scalable ETL pipelines, and driving KPIs/OKRs at companies like Cash App and Twitter. His research-oriented background produced a novel ML paradigm for limited, unlabeled data that improved accuracy by 15%, a signal of his ability to translate theory into measurable business impact. Comfortable across Python, Spark, Kubernetes, and cloud platforms, he’s equally at home in exploratory analysis, A/B testing, and client-facing storytelling. Outside work he’s a keen tabletop strategist, which subtly informs his collaborative, outcome-focused leadership style.
9 years of coding experience
6 years of employment as a software developer
Johns Hopkins University