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Analytic Methodologist - Expert

$145k - $241k

Vantor

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 | $145,000.00 – $241,000.00 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., 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 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 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 The base pay for this position within the Washington, DC metropolitan area is: $145,000.00 - $241,000.00 annually. 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 such as student loan repayment assistance, adoption reimbursement, and pet insurance to support all aspects of your life. Application Window 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. EEO Policy Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law. #J-18808-Ljbffr

Vacancy posted 4 days ago
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