Data Scientist, Regulation, Evaluation, and Governance Lab (RegLab), Stanford Law School
Job Number: 84534
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 RegLab: Stanford's RegLab partners with government agencies to design and evaluate programs, policies, and technologies that modernize governance. Government agencies are responsible for addressing some of society's greatest challenges. Yet they increasingly lack the tools to design and evaluate initiatives based on rapid advances in the data sciences and the social sciences. RegLab (interim website: reglab.stanford.edu) is building a bridge between government agencies and academic frontiers in data science to revitalize the administrative state. We are an interdisciplinary team of legal experts, data scientists, social scientists, and engineers who are passionate about building an evidence base and high impact demonstration projects for better government. Our home at Stanford allows us to leverage state-of-the-art advances in machine learning, artificial intelligence, and data science that have the potential to dramatically improve and reenvision government.
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
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
Design and write reports based on data analysis
Have the opportunity to receive co-authorship on research papers
We're looking for someone who has:
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
The ability to be self-learning, self-guided, and engaged in the mission of the Lab
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
Application Instructions: We invite you to apply by clicking on the 'Apply for Job' button found on the cardinal careers website found here (http://m.rfer.us/STANFORD.nn8LX). To be considered, please submit the following items along with your online application:
Project and code samples or Github
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.
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.
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.
Location: School of Law, Stanford, California, United States Schedule: Classification Level:
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 9000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu. Stanford University is an ...equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.