Data Scientist, RegLab, Stanford Law School

California, United States
18 Dec 2020
End of advertisement period
16 Feb 2021
Contract Type
Full Time

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. 

About Us: Stanford’s RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, and Santa Clara County Public Health (Covid-19 response).  We are looking for a Data Scientist who is self-guided, is a self-learner, and who is engaged in the mission of the Lab.

You will:

  • Work closely with the Faculty Director, Senior Data Scientist, and teams of fellows and students to drive forward a diverse research program focused on machine learning and policy evaluation.
  • 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.
  • 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 requirements. Lead the implementation of data standards and common data elements for data collection.
  • 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, (MS or Ph.D., preferred), 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.
  • Strong listening, verbal and written communication skills and a focus on achieving results.
  • Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and strong attention to detail.
  • Ability to work effectively with multiple internal and external customers, and ability to take a leadership role on projects and with users/clients.

Nice to Haves:

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

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Application Instructions: We invite you to apply by clicking on the "Apply for Job" button found on the cardinal careers website found here. To be considered, please submit the following items along with your online application:

  • CV
  • Project and code samples or Github

Stanford is an equal employment opportunity and affirmative action employer.

Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.

Additional Information

  • Schedule: Full-time
  • Job Code: 4745
  • Employee Status: Regular
  • Grade: I
  • Department URL:
  • Requisition ID: 88038

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