Data Scientist, Center Security and Emerging Technology; CSET), Walsh School of Foreign Ser

Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.

The Center for Security and Emerging Technology (CSET) under the School of Foreign Service is hiring a Data Scientist. The role is part of CSET’s Data Team, working collaboratively with software engineers, data analysts, and research fellows to maintain CSET’s data infrastructure, transform data into analytically useful forms through extraction, classification, clustering, annotation, and entity resolution, and produce rigorous policy research and high‑quality data resources.

This position will contribute to a new project focused on improving bibliometric data, developing methods and metrics to identify emerging areas in science and technology, and providing open data and infrastructure to support research and decision making, including improving CSET’s Map of Science and related tools.

CSET is a research organization focused on studying the security impacts of emerging technologies, supporting academic work in security and technology studies, and delivering nonpartisan analysis to technologists and policymakers. CSET currently focuses on artificial intelligence, advanced computing, and biotechnology. The Emerging Technology Observatory is a free public platform for data and insight on critical emerging technology issues, providing analytic tools and datasets to help users across government, academia, nonprofits, and the private sector understand and act on global emerging technology trends.

• Build and maintain data pipelines and data processing techniques for large datasets using Airflow.
• Design, evaluate, and implement solutions—including AI‑enabled solutions and advanced modeling—to improve the quality and utility of datasets and enable new analytic capabilities.
• Ingest structured and unstructured datasets into Google Cloud Platform (GCP).
• Document and communicate CSET methods and data resources to internal and external audiences.
• Collaboratively develop research designs and identify appropriate data and methods.
• Interpret results and draw valid inferences from data to support CSET research and publications.
• Communicate substantive findings from data for policy audiences via accessible visualizations, written outputs, web interfaces, and presentations.
• Monitor trends and developments in AI, ML, biotechnology, and national security policy.
• Contribute to CSET’s organizational development, including internal working groups, seminars, and discussions; support and mentor colleagues.
• Uphold CSET’s mission, values, and culture.
• Perform additional duties as assigned.

• Bachelor’s degree in computer science, data science, or a quantitative field (e.g., economics).
• A minimum of 5 years of professional quantitative or statistical analysis experience (can include graduate coursework).
• Proficiency with SQL and Python.
• Experience working with code management platforms such as Git Hub.
• Familiarity with cloud computing environments (e.g., Google Cloud Platform, AWS, Azure).
• Ability to process and analyze datasets, and interpret them to make decisions.
• Ability to work successfully in a highly collaborative team environment including people from nontechnical backgrounds.
• Strong project management skills.
• Clear written and verbal communication.
• Motivated, enthusiastic, intellectually curious, and self‑driven.
• Alignment with CSET’s mission, values, and culture.
• Ability to work in the United States without employer sponsorship.

• Natural Language Processing (NLP) experience.
• Experience with Google Cloud Platform or similar environments (e.g., AWS, Azure).
• Experience incorporating machine learning or large language models into data processing workflows.
• Experience working with bibliometric datasets (e.g., publications, patents, citations).
• Experience working with multilingual data.

Hybrid

$80,429.00 – $

GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.