Data Scientist, RegLab, Stanford Law School

This is for a one-year fixed-term position with the opportunity for extension based on performance. The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a full-time Data Scientist to provide analytical expertise across our research programs.

: Stanford RegLab builds the evidence base and technology for effective government. Our interdisciplinary team of engineers, data scientists, social scientists, and legal experts partners with agencies at every level—from federal departments to states, counties, and cities—bringing frontier AI, machine learning, and causal inference to the public sector. RegLab’s work has prompted an overhaul of tax auditing, mapped racial covenants across millions of records, and enabled streamlining of statutes and regulations. You Will • Work closely with the Faculty Director, Research Directors, Senior Data Scientists, and teams of fellows and students to drive forward a diverse research program focused on machine learning and policy evaluation • Design, implement, and interpret the results of new experiments and studies. • Work with large untapped data sets, including: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15cm/pixel), and the largest publicly available corpus of legal text • Develop and devise state-of-the-art machine learning models, algorithms, and statistical models, while leading the collection of new data and the refinement of existing data sources. • Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting

. Lead the implementation of data standards and common data elements for data collection. • Work with self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Write and distribute reports based on data analysis to applicable agencies, researchers, or other internal end-users. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Have the opportunity to receive co-authorship on research papers