Data Scientist

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);
• 2 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 GitHub;
• Familiarity working in 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

Preferred Additional Qualifications:

Our ideal applicant would have at least 1-2 of the following additional attributes:

• Natural Language Processing (NLP) experience
• Familiarity working in Google Cloud Platform or similar environments (e.g. AWS, Azure);
• Experience incorporating ML or LLMs into data processing workflows
• Experience working with bibliometric datasets (e.g. publications, patents, citations)
• Experience working with multi-lingual data

Application Instructions:

Please note that we only consider complete applications, which include:

• Resume/CV
• Cover Letter
• Code Sample from a past project.
• Code samples can be provided by linking to a GitHub repository or Google Drive folder in the cover letter. Applicants who proceed beyond the phone screen will be required to complete a take-home coding exercise.

For ease of reviewing all submissions, we ask that candidates submit all application materials, resume, and cover letter, including a link to your coding sample, as a single document in Workday. PDF or DOCX formats are accepted.

The application deadline for this role is Monday, June 1st, 2026.

In general, Data Scientists can expect to earn between $120-145k/year, commensurate with experience.

This position is based in the United States and offers no relocation assistance. This position is not eligible for a specialty-occupation sponsorship and, accordingly, this position requires that all applicants be legally eligible to work in the United States without sponsorship from Georgetown University.

If you have any questions with regard to completing and/or submitting your application, please email csetcareers@georgetown.edu.

This position has been designated as Hybrid 2 Days. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position’s mode of work designation. Complete details about Georgetown University’s mode of work designations for staff and AAP positions can be found on the Department of Human Resources website: https://hr.georgetown.edu/mode-of-work-designation.