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.

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.

Benefits

AIR’s Total Rewards Program designed to reward staff competitively and motivate achievement of mission.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningnatural language processingstatistical modelingdata pipelinesanalytical frameworksAI modelsbig data technologiescloud computingdata governance

Soft Skills

leadershipmentoringcollaborationcommunicationinnovationtechnical excellencestrategic visioncross-functional teamworkpublication writingthought leadership