Analytic Methodologist - Mid-Level

Job Description

Job Description

Analytic Methodologist – Mid-level

Reston, VA

Active TS/SCI with Poly Clearance required

@Orchard is retained by a top geospatial technology company supporting important operations missions to U.S. Government customers. Our client is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. They are 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 .

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.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph.

For this role we are seeking a Mid-level Analytic Methodologist .

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
• 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.

Established in 2010, @Orchard has an exceptional reputation, providing talent acquisition solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at .