Data Scientist

Georgetown University’s Center for Security and Emerging Technology (CSET) is seeking a Data Scientist to support data infrastructure and rigorous policy research.

Responsibilities

• 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 dataset quality and utility
• Ingest structured and unstructured datasets into Google Cloud Platform (GCP)
• Document and communicate CSET methods and data resources to internal and external audiences
• Collaborate on research designs and identify appropriate data and methods
• Interpret results and draw valid inferences from data to support research and publications
• Communicate substantive findings for policy audiences using accessible visualizations , written outputs, web interfaces , and presentations
• Monitor trends and developments in AI , ML , biotechnology , and national security policy
• Contribute to organizational development through internal working groups, seminars, and discussions
• Support and mentor colleagues
• Uphold CSET’s mission, values, and culture
• Perform additional duties as assigned

Requirements

• Bachelor’s degree in computer science, data science, or a quantitative field (e.g., economics)
• Minimum 5 years of professional quantitative or statistical analysis experience (graduate coursework may be included)
• Proficiency with SQL and Python
• Experience with code management platforms such as GitHub
• Familiarity working in cloud computing environments such as Google Cloud Platform , AWS , or Azure
• Ability to process and analyze datasets and interpret results to support decisions
• Experience working in a highly collaborative team environment, including with nontechnical stakeholders
• 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

Technologies

• Airflow
• Google Cloud Platform (GCP)
• SQL
• Python
• GitHub
• AWS
• Azure
• AI
• ML
• NLP
• LLMs

Preferred Additional Qualifications

• 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

Job Overview

• Role is part of the Center for Security and Emerging Technology (CSET) within the School of Foreign Service
• Works on CSET’s Data Team alongside software engineers, data analysts, and research fellows
• Maintains CSET’s data infrastructure and makes data analytically useful through extraction, classification, clustering, annotation, and entity resolution
• Supports rigorous policy research and high-quality data resources
• Contributes to a project focused on improving bibliometric data, developing methods and metrics for emerging science and technology areas, and providing open data and infrastructure to support research and decision making, including improvements to CSET’s Map of Science and related tools

Work Mode

• Hybrid

Location

• Washington, DC

Compensation

• Projected salary range: USD 80,429 - 157,238.93 per year

Benefits

• Medical, dental, vision, disability, and life insurance
• Retirement savings
• Tuition assistance
• Work-life balance benefits
• Employee discounts
• Voluntary insurance options

Accommodations and Contact

• For reasonable accommodations related to the application or hiring process, visit the Office for Equal Opportunity Compliance website
• Contact: or
• Application process assistance: