This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly.

We're hiring multiple Analytic Methodologists to join our team. In this position you will support the development of analytic strategies to resolve key intelligence questions of mission-driven requirements.  Analytic Methodologists will support a dynamic Object-Based Intelligence (OBI) program focused on predictive analytics, structured methodologies, and semantic integration across the defense intelligence mission set. This role involves designing and recommending analytic strategies, developing repeatable workflows, and engineering knowledge models to support anticipatory intelligence across a wide range of national security domains—including emerging technologies, geopolitical trends, military capabilities, and threat networks.

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.

Minimum Qualifications:

• Must be a US 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 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.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.