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Vantor · 5 hours ago

Analytic Methodologist - Mid

Washington, DC

Full-time

Onsite

Mid, Senior Level

$99K/yr - $165K/yr

8+ years exp

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The Analytic Methodologist will support the development of analytic strategies to resolve key intelligence questions and contribute to a dynamic Object-Based Intelligence program focused on predictive analytics and structured methodologies.

Software

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Deconstruct complex and ambiguous intelligence questions to recommend structured analytic methodologies tailored to mission requirements

Evaluate and adapt existing analytic models, algorithms, and frameworks to improve objectivity, completeness, and predictive value of intelligence production

Design, develop, and maintain domain-specific ontologies to enable semantic representation of data inputs, facilitating integration of data sources and interoperability with internal and external OMSs

Design, develop, and maintain knowledge graphs leveraging domain-specific ontologies to support advance data querying, data visualization, and integration of intelligence function via OBI standards

Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards

Establish processes for ontology version control, change management, stakeholder and governance review to ensure accuracy, consistency, and compliance with IC and DoD policies and standards

Collaborate with team members to enhance semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g., GraphQL, SPARQL, SHACL, SQL)

Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities

Collaborate with team members to evaluate effectiveness of exploratory efforts to automate ontology and associated component generation leveraging qualitative and quantitative metrics

Support capability development by contributing, editing, and storing ontologies and knowledge models in Government owned/controlled source version control repositories

Qualification

TS/SCI clearancePredictive analyticsOntology developmentStructured analytic methodsPythonData visualizationMachine LearningNatural Language ProcessingCommunicationProblem-solving skillsTeam collaboration

Required

Must be a US citizen and have an active TS/SCI with CI poly

8 years of experience and a related Bachelor's degree

Experience with structured analytic methods and designing repeatable analytic processes

Familiarity with semantic technologies and ontology development tools (e.g., Protégé)

Excellent oral and written communication skills with an ability to tailor to technical and non-technical audiences

Possesses knowledge and experience of advanced analytics and data storage

Knowledge of various data science applications and architectures. Experience with Python

Preferred

Ability to synthesize abstract concepts into actionable intelligence products

Experience applying predictive analytics to strategic intelligence problems across multiple domains

Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs

Ability to lead multi-disciplinary teams to complete complex data science projects

Experienced in applying statistical and data visualization skills

Strong problem-solving skills to manipulate data and draw insights from large structured and unstructured data sets

Proven ability to learn and master new software, technologies and techniques

Experience in two or more of the following: Machine Learning, Natural Language Processing, Large Language Models, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau