ANSER is seeking to advance analytic efficiency and predictive capabilities across the Object-Based Intelligence (OBI) enterprise by leveraging data science, machine learning, and statistical techniques to analyze, model, and visualize complex multi-INT datasets.
Requirements
- 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, and ML algorithms.
- Familiarity with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
- Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
- Experience with large data multi-INT analytics, machine learning (ML), and automated predictive analytics
- Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Responsibilities
- Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft, assessments, production, and dissemination.
- Propose and apply advanced statistical, mathematical, and experimental methodologies to identify alternatives, formulate models, and develop innovative analytic techniques.
- Research, prototype, and evaluate technologies that augment or automate all-source analytic processes using computer models and advanced analytics.
- Leverage novel technologies (e.g., large language models, NLP, machine learning) to automate and enhance ontologies, entity recognition, extraction, and summarization in accordance with analytic tradecraft standards.
- Develop, refine, and optimize semantic data retrieval and reasoning across knowledge graphs using query languages and protocols (e.g., SPARQL, GraphQL, SHACL, SQL).
- Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices.
- Write and maintain Python or R scripts, use SQL, manage and merge disparate data sources, and develop scalable workflows for large, spatial, and multi-INT datasets.
Other
- TS/SCI with CI Poly clearance
- Bachelor's degree in in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
- Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions.
- Collaborate with stakeholders to implement data-driven decision-making processes and best practices for system development, testing, deployment, and continuous improvement.
- Provide consultation, governance guidance, documentation review, audit findings, and version-controlled code contributions to advance OBI standards, knowledge modeling, and DIA analytic capabilities.
