Data Scientist, Center For Security And Emerging Technology (cset), Walsh School Of Foreign Service (sfs)

Georgetown University

Washington, DC, USA
Base: $80,429.00 - $157,238.93; bonus/equity: not ...
Hybrid
5+ years quantitative analysis experience
Proficiency in sql and python
Experience with airflow and gcp
Georgetown University is seeking a Data Scientist for the Center for Security and Emerging Technology (CSET), focusing on enhancing bibliometric data and developing analytic capabilities in emerging technologies. The ideal candidate will have a strong background in quantitative analysis, experience with SQL and Python, and the ability to work collaboratively in a team environment. This hybrid role offers an engaging and collegial work culture within a research-focused institution

Job Summary

  • The Data Scientist will build and maintain data pipelines using Airflow to support CSET's mission of studying security impacts of emerging technologies.
  • This role involves designing AI-enabled solutions to improve bibliometric data quality and develop metrics for identifying emerging science and technology areas.
  • Georgetown University offers a comprehensive benefit package including medical, dental, vision, retirement savings, and tuition assistance.

Matching Summary

Match Score: 85

Georgetown University is seeking a Data Scientist for the Center for Security and Emerging Technology (CSET), focusing on enhancing bibliometric data and developing analytic capabilities in emerging technologies. The ideal candidate will have a strong background in quantitative analysis, experience with SQL and Python, and the ability to work collaboratively in a team environment. This hybrid role offers an engaging and collegial work culture within a research-focused institution.

Salary

Base: $80,429.00 - $157,238.93; Bonus/Equity: Not specified; Benefits: Comprehensive package including medical, dental, vision, retirement, and tuition assistance

Skills & Requirements

Must-have

  • 5+ years quantitative analysis experience
  • Proficiency in SQL and Python
  • Experience with Airflow and GCP
  • GitHub code management platform usage

Nice-to-have

  • Natural Language Processing (NLP) experience
  • Experience with ML or LLMs in workflows
  • Bibliometric dataset familiarity
  • Multi-lingual data processing skills
  • Intellectually curious and self-driven attitude

Key Requirements

  • Bachelor's degree in computer science or quantitative field
  • Minimum 5 years professional quantitative analysis experience
  • Must be legally eligible to work in the US without sponsorship

Work Rights

Must be legally eligible to work in the United States without sponsorship

Tailored Resume

Cover Letter