Data Scientist (AI/ML)

TL;DR

Data Scientist (AI/ML): Designing and evaluating advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft. Focus on leveraging novel technologies like large language models and NLP to automate and enhance ontologies, entity recognition, extraction, and summarization, and ensuring responsible AI practices.

Location: Reston, VA

Company

hirify.global enhances national and homeland security by strengthening public institutions, providing thought leadership for complex issues through independent analysis, and delivering practical solutions.

What you will do

• Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI).
• Research, prototype, and evaluate technologies that augment or automate all-source analytic processes.
• Leverage large language models, NLP, and machine learning to automate and enhance ontologies, entity recognition, extraction, and summarization.
• Develop, refine, and optimize semantic data retrieval and reasoning across knowledge graphs.
• Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices.
• Develop, track, analyze, and interpret performance metrics to identify trends, gaps, and opportunities for system improvement.

Requirements

• TS/SCI with CI Poly clearance
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical field.
• Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions.
• Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
• Demonstrated understanding of Object Based Intelligence frameworks.
• Demonstrated experience with predictive modeling, data mining, statistical analysis, ML algorithms, knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).

Nice to have

• Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
• Knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
• Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.

Culture & Benefits

• Values collaboration, integrity, and initiative.
• Client-focused in all work.
• Established for public service and not for profit.
• Measures success in the impact of service.
• Proud to be an Equal Opportunity Employer.
• Provides accommodations for disabilities.