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Analytic Methodologist - Expert

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Vantor
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Analytic Methodologist – Expert

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. Vantor is a place for problem solvers, changemakers, and go‑getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.

Location

& Compensation

Washington, DC | $ – $ annually | Full‑time | Mid‑Senior level

Open to U.S. Persons Only

To be eligible for this position, you must be a U.S. Person
, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. This role requires an active U.S. Government Security Clearance at the TS/SCI level with an in‑scope CI poly
. Applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

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 advanced data querying, data visualization, and integration of intelligence functions 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., Graph

    QL, 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.
Minimum Qualifications
  • Must be a U.S. citizen and have an active TS/SCI with CI poly.
  • 20 years of experience and an advanced 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 Qualifications
  • 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…
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