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.
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:
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
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.
Copyright 2017 Jobelephant.com Inc. All rights reserved.
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, 12000 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 is an equal empl...oyment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.