The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.
About us: Stanford 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, DOL, and Santa Clara County Public Health.
As a Data Scientist at RegLab, you will:
Help design, develop, and support machine learning models, algorithms, statistical models, and other programs designed to improve the public sector.
Lead the collection of new data and the refinement of existing data sources. Work withlarge 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.
Implement and interpret the results of new experiments and studies in partnership with government agencies, researchers, non-profits, or other stakeholders.
Lead testing, release, and maintenance processes and collaborate with technical staff to standardize and systemize data standards, elements, and metrics.
Help mentor students and other members of the lab as needed.
Core Classification Duties:
Work under consultative or 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. Distribute and disseminate reports to applicable agencies, researchers, management and other internal end-users.
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.
Design and customize reports based upon data in the database.
Create non-routine databases and their related information summary; develop algorithms and statistical models; and perform statistical analyses appropriate to complex data and reporting requirements.
Lead the implementation of data standards and common data elements for data collection.
Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics.
Test prototypes and participate in approval and release process for new tools.
Minimum Qualifications:
A bachelor's degree in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of relevant professional experience or a combination of education and relevant professional experience
Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL)
In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
Basic statistical ability.
Strong listening, verbal and written communication skills.
Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.
Ability to work with data of varying levels of quality and validity.
Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.
Ability to work effectively with multiple internal and external customers.
Ability to take a leadership role on projects and with users/clients.
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.
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.
Salary and Benefits: This position is for an initial one-year fixed term period with the opportunity for extension and/or transition to ongoing status based on performance and budget. Salary is competitive. Stanford provides excellent retirement plans, time-off, and family care resources, which you can read more about here:https://cardinalatwork.stanford.edu/benefits-rewards.
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:
Why work at Stanford?Stanford University has changed the world, over and over again.We are one of Silicon Valley's largest employers - and also one of the most unique. Our mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative, rewarding, and challenging place to work. At the same time, our traditions of respect and collaboration sustain a humane, supportive environment in which to pursue your life and your career.At Stanford you'll work with bright, diverse, dedicated people. You'll find encouragement to learn and grow. You'll enjoy excellent benefits and an outstanding environment. How will it change you?
