Summary
Jaren Haber is a senior data scientist and computational social scientist known for translating rigorous research into policy-relevant insights. Since 2024 he has been shaping data-informed decision-making at the US Government Accountability Office, building scalable analytics and reporting for diverse stakeholders. His work spans natural language processing, machine learning, and causal/statistical methods applied to digital information flows, inequality, and policy, with notable projects including rapid visualization of per-pupil expenditures and tools to visualize misinformation. He combines academic training (PhD in Sociology from UC Berkeley) with hands-on leadership in cross-disciplinary teams and community-engaged data science, evidenced by capstone projects and pragmatic experiments with ~600 subjects. He maintains open-access code and workflows and contributes to multiple research-focused GitHub repos, reflecting a commitment to reproducibility and community education. Based in Keene, New Hampshire, he brings a rare mix of research depth, policy impact, and a passion for making data science accessible to diverse audiences.
10 years of coding experience
3 years of employment as a software developer
PhD, Sociology, PhD, Sociology at University of California, Berkeley
BA, Socio-cultural Anthropology, BA, Socio-cultural Anthropology at University of California, Davis
Spanish