Data Scientist

Location: Reston, VA

Department: 004020 - Intelligence, Analysis & Operations

Position Summary
ANSER is seeking a Data Scientist to advance analytic efficiency and predictive capabilities across the Object-Based Intelligence (OBI) enterprise. You will leverage data science, machine learning, and statistical techniques to analyze, model, and visualize complex multi-INT datasets, delivering actionable insights that support OBI analytic production and decision-making.

Day-to-Day 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.
• Execute Test, Evaluation, Verification, and Validation (TEVV) protocols to assess system performance, robustness, fairness, and tradecraft compliance in all-source analysis contexts.
• Develop, track, analyze, and interpret qualitative and quantitative performance metrics to identify trends, gaps, and opportunities for system improvement.
• Collaborate with stakeholders to implement data-driven decision-making processes and best practices for system development, testing, deployment, and continuous improvement.
• Develop and refine methodologies for evaluating analytic systems, including validation, reasoning completeness, coverage, consistency, and fairness.
• Use data engineering, mining, exploratory, predictive, statistical, and scientific techniques to correlate data and produce graphical, written, visual, and verbal analytic products.
• 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.
• Create and operate in distributed analytic environments, scaling algorithms to handle datasets exceeding system memory constraints.
• Work with ambiguous and complex information by deconstructing key questions, exploiting APIs and spatial data, suggesting methodologies, and developing data schemas.
• Provide consultation, governance guidance, documentation review, audit findings, and version-controlled code contributions to advance OBI standards, knowledge modeling, and DIA analytic capabilities.

Required Qualifications

• 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.
• 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.

Preferred Qualifications

• 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.
• Knowledge of DoD 8570/8140 compliance and responsible AI policy frameworks.
• Working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).
• Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI.