Data Scientist, Center for Security and Emerging Technology (CSET), Walsh School of Foreign Service (SFS)

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.

Requirements

Job Overview

The Center for Security and Emerging Technology (CSET), under the School of Foreign Service, is hiring a Data Scientist. This role is on CSET’s Data Team, working collaboratively with software engineers, data analysts, and research fellows to maintain CSET’s data infrastructure, make data analytically useful 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. 

About CSET & the Emerging Technology Observatory:

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. CSET is located in Georgetown University’s Capitol Campus near Union Station. Members of our team are challenged with meaningful work, offered ongoing opportunities for professional development and learning, and contribute to a collegial and engaging environment where they can thrive. We are deeply committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply.

CSET's Emerging Technology Observatory is a free public platform for data and insight on critical emerging technology issues. Building on CSET's unique data and analytic capabilities, ETO provides analytic tools and datasets to help users across government, academia, nonprofits and the private sector understand and act on global emerging technology trends. 

About the Role: 

The Data Scientist will report to CSET’s Director of Data Science and Research and have responsibility for:  

• Building and maintaining data pipelines and data processing techniques for large datasets using Airflow;

• Designing, evaluating, and implementing solutions, including AI-enabled solutions and advanced modeling, to improve the quality and utility of datasets and enable new analytic capabilities;

• Ingesting structured and unstructured datasets into Google Cloud Platform (GCP);

• Documenting and communicating CSET methods and data resources to internal and external audiences;

• Collaboratively developing research designs and identifying appropriate data and methods; 

• Interpreting results and drawing valid inferences from data to support CSET research and publications; 

• Communicating substantive findings from data for policy audiences, via accessible visualizations, written outputs, web interfaces, and presentations.

• Monitoring trends and developments in AI, ML, biotechnology, and national security policy

• Contributing to CSET’s organizational development, including internal working groups, seminars, and discussions; and supporting and mentoring colleagues

• Upholding CSET’s mission, values and culture

• Additional duties as assigned

Requirements and Qualifications

• 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);

• Profic