Principal Data Scientist, Healthcare Innovations

The American Institutes for Research (AIR) is a nonpartisan organization focused on behavioral and social science research. They are seeking a Principal Data Scientist to lead complex data science projects, design analytical frameworks, and mentor staff while ensuring ethical use of data in research and product development.

Responsibilities:

• Lead the strategic vision and execution of AIR’s most complex and high-impact data science projects
• Design and implement cutting-edge analytical frameworks, including AI/ML models, to extract insights from diverse and high-dimensional datasets
• Serve as a senior technical advisor across AIR’s research domains, including education, health, workforce, and international development
• Spearhead the integration of novel data sources (e.g., geospatial, unstructured, real-time) into AIR’s research and evaluation efforts
• Guide the development of scalable data pipelines and reproducible research environments
• Represent AIR in external forums, including conferences, advisory boards, and collaborative partnerships
• Author influential publications and thought leadership pieces that advance the field of data science for social good
• Mentor senior data scientists and technical staff, fostering innovation, technical excellence, and career growth
• Lead cross-functional teams and collaborate with economists, policy researchers, and technologists to deliver integrated solutions
• Drive business development efforts, including proposal strategy, client engagement, and partnership cultivation
• Ensure ethical and responsible use of data and algorithms in all phases of research and product development

Requirements:

• Bachelors degree in Computer Science, Data Science, Statistics, Computational Social Science, or a related field
• Minimum of 11 years of experience applying advanced data science techniques to real-world problems, preferably in public policy or social impact domains
• Deep expertise in machine learning, natural language processing, and statistical modeling
• Proven track record of leading large-scale, interdisciplinary data science projects
• Experience with cloud computing, big data technologies, and scalable infrastructure
• Familiarity with ethical AI principles and data governance frameworks
• Strong publication record and external visibility in the data science community
• Visionary leadership and strategic thinking
• Advanced proficiency in Python, R, and other relevant programming languages
• Expertise in data visualization, storytelling, and communicating complex findings to diverse audiences
• Strong interpersonal and collaboration skills across technical and non-technical teams
• Ability to manage multiple priorities in a fast-paced, mission-driven environment
• Commitment to equity, transparency, and innovation in data science
• Applicants must be currently authorized to work in the U.S. on a full-time basis