ANSER · 8 hours ago
Data Scientist
Reston, VA
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expANSER is a company focused on enhancing national and homeland security through independent analysis and practical solutions. They are seeking a Data Scientist to leverage data science and machine learning techniques to analyze and visualize complex datasets, ultimately supporting decision-making in Object-Based Intelligence (OBI).
ConsultingNational SecurityNon ProfitPublic SafetyRisk Management
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
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
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
Company
ANSER
In 1958 the Air Force needed a technically qualified unbiased organization that could rapidly provide analysis for identified and evolving mission requirements.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Steve Hopkins
President / Chief Executive Officer
John Lambeth
Chief Information Officer
Recent News
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