Tasks
* Build data pipelines
* Communicate findings to policy audiences
* Conduct research design and data method identification
* Create accessible visualizations and web interfaces
* Design evaluate and implement modeling solutions
* Develop AI-enabled solutions
* Document and communicate methods and data resources
* Implement extraction classification clustering annotation entity resolution
* Improve dataset quality and utility
* Ingest structured and unstructured datasets
* Interpret results and draw inferences
* Monitor AI machine learning biotechnology and national security policy trends
* Process large datasets
Perks/Benefits
* Hybrid work mode
* Professional development opportunities
Skills/Tech-stack
AWS | Airflow | Annotation | Azure | Classification | Cloud platform | Clustering | Data Modeling | Data Pipelines | Entity Resolution | GitHub | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | SQL | Text processing
Education
Bachelor of Science
Roles
Data Scientist | Scientist
Regions
North America
Countries
United States
States
District of Columbia, US
Cities
Washington, District of Columbia, US