hybrid
Data Scientist
Data Scientist
The Data Scientist will be responsible for building data pipelines, conducting research design, and developing AI-enabled solutions. They will also process and interpret large datasets, communicate findings, and create visualizations for policy audiences.
About the role
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
Skills
AWSAirflowAnnotationAzureClassificationCloud platformClusteringData ModelingData PipelinesEntity ResolutionGitHubGoogle CloudGoogle Cloud PlatformLanguage ModelsLanguage ProcessingLarge Language ModelsMachine LearningNatural LanguageNatural Language ProcessingPythonSQL