Teams at American Institutes for Research

Designs and implements secure, scalable applications, data architectures, integrations, analytics, and decision-support workflows. Leads end-to-end solution architecture and hands-on software engineering using React, TypeScript, Python, SQL, REST APIs, cloud technologies, and Palantir Foundry/Vantage. Develops data models, pipelines, ontology-based solutions, reusable technical patterns, and workflow automation while mentoring technical staff and collaborating with multidisciplinary teams.

The Data Scientist will develop reusable analytic tools, maintain reproducible workflows, manage and quality-assure complex datasets, conduct causal and non-causal analyses, apply machine learning and AI methods, review junior staff code, and translate technical findings into reports and presentations for clients and stakeholders.

Supports applied research and evaluation projects by collecting, cleaning, managing, and analyzing quantitative and qualitative data. Conducts literature reviews and policy scans, interprets findings, prepares reports, briefs, charts, and graphs, and contributes to proposal development. Also assists with project management through timeline development, meeting coordination, and progress tracking while collaborating with interdisciplinary teams in a virtual work environment.