Analytic Methodologist - Mid

Vantor Services•Reston, VA

About The Position

Vantor is seeking multiple Analytic Methodologists to join their team. This role supports the development of analytic strategies for a dynamic Object-Based Intelligence (OBI) program focused on predictive analytics, structured methodologies, and semantic integration within the defense intelligence mission. The position involves designing and recommending analytic strategies, developing repeatable workflows, and engineering knowledge models to support anticipatory intelligence across national security domains, including emerging technologies, geopolitical trends, military capabilities, and threat networks. Eligibility requires U.S. Citizenship and an active U.S. Government security clearance (TS/SCI with CI poly).

Requirements

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.

Nice To Haves

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.

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.