Data Scientist

Analytic Services Inc•Reston, VA

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.