Data Scientist, RegLab - Stanford Law School

Stanford, CA, United States (Hybrid)

This is for a ONE-YEAR FIXED TERM position with the opportunity for extension based on performance.

* Budgeted Range:
The Law School’s budgeted pay for or this position is: $93,163 - $104,477 per annum.

The Regulation, Evaluation, and Governance Lab (Reg Lab) at Stanford University is looking for a full-time Data Scientist to provide analytical expertise across our research programs.

About Us:

Stanford Reg Lab 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. Reg Lab’s work has prompted an overhaul of tax auditing, mapped racial covenants across millions of records, and enabled streamlining of statutes and regulations.

• 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, such as: arge legal corpora, administrative records for public programs, LLM traces and benchmarks, health and environmental enforcement data
• 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 requirements.
• 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

• A bachelor's degree, or MS or Ph.D., in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of (a) relevant professional experience or (b) combination of education and relevant professional experience
• Expert knowledge of programming languages (such as Python, R, and/or SQL)
• A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
• Excellent written and verbal communication skills and a focus on achieving results
• Ability to work effectively with multiple internal and external customers, and ability to take a leadership role on projects and with users/clients.
• Self-guided, self-learner, and engaged in the mission of the Lab

• Specialization in machine learning frameworks (Tensor Flow, TF, PyTorch, Scikit Learn, etc.), NLP, LLM evaluation, computer vision, or related fields
• Academically-minded, with experience working in an academic setting

The deadline for the first round is 7:00AM PST on Friday, October 23, 2026. All applications received before this date are guaranteed to be read while there is a spot open. After this date we will still be accepting…