Stanford University's Regulation, Evaluation, and Governance Lab (RegLab) is looking to solve public sector artificial intelligence (AI) applications and policy problems, particularly in areas such as assessing emissions, monitoring land use, or evaluating the environmental impacts of industrial agriculture and aquaculture.
Requirements
- Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval).
- Experience with database systems and data modeling, structured and unstructured.
- Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques.
- Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.
- Ability to use and integrate security controls for web applications, mobile platforms, and backend systems.
- Experience deploying reliable data systems and data quality management.
- Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable data platforms.
Responsibilities
- Lead the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector.
- Work with large untapped data sets, such as: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery, and the largest publicly available corpus of legal text.
- Mentor and/or manage other data scientists and junior researchers.
- Collaborate with interdisciplinary research teams and external stakeholders to identify high-impact opportunities for applied data science in the public sector.
- Adapt and refine existing AI models to align with the constraints and ethical considerations of public sector use cases, including fairness, transparency, and interpretability.
- Develop and test prototype software and participate in the approval and release process for new software.
- Prioritize and extract data from a variety of sources such as reports, legal documents, notes, survey results, and satellite imagery, and maintain its accuracy and completeness.
Other
- A bachelor’s degree (MS or Ph.D. preferred) in a scientific or analytic 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.
- Demonstrated excellence in written and verbal communication skills.
- Ability to work in a team environment and collaborate with interdisciplinary research teams and external stakeholders.
- Ability to prioritize tasks and manage multiple projects simultaneously.
- Must successfully pass a background check prior to starting work at Stanford University.
