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GRVTY

RF signature collection for defense

Geospatial Data Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeCamp Lejeune, NC, USA$120k - $155kIn-person

About the Job

Requirements

  • At least 10 years of relevant experience, which may be satisfied through a combination of experience, professional certifications or training, and degree.
  • Active Top Secret/Sensitive Compartmented Information clearance, with the ability to obtain a Counterintelligence Polygraph.
  • Senior-level proficiency in Python, including demonstrated experience designing mission-ready solutions.
  • Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
  • Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
  • Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
  • Strong Structured Query Language skills and experience querying relational databases.
  • Experience using Git-based version control platforms such as GitLab or GitHub.
  • Proficiency with geospatial processing frameworks such as Geospatial Data Abstraction Library or ArcPy.
  • Proficiency with geographic information systems desktop software such as ArcGIS Pro or QGIS.
  • Ability to write clear, concise technical documentation related to software systems and automated workflows.
  • Ability to operate independently at a senior level with limited oversight.
  • Familiarity with United States Special Operations Command and broader U.S. military organizational structures.
  • Familiarity with common Intelligence Community data repositories.

Responsibilities

  • Develop and operationalize advanced analytic solutions that enhance intelligence production and mission effectiveness.
  • Design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories.
  • Create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility.
  • Modernize legacy workflows to improve reliability, scalability, and maintainability in high-consequence environments.
  • Coordinate with clients to understand questions and issues involving client datasets, then determine suitable methods and approaches for data-driven solutions within program guidelines.
  • Lead or assist in developing automated processes, architect data science solutions and automated workflows, conduct analysis, use available tools to analyze data, adapt to mission requirements, and identify patterns to help solve complex problems facing the Department of Defense and Intelligence Community.

About the Company

GRVTY

RF signature collection for defense

GRVTY develops tools for national security by collecting real-time RF signatures and delivering situational awareness for defense operations. Its flagship product, SPEAR (Special Purpose Environmental Activity Recorder), is a compact, cost‑effective device that can be quickly deployed to gather radio-frequency signals in both land and maritime environments. The data from SPEAR feeds into comprehensive data platforms that turn raw RF signals into actionable insights for asset management and command decisions. Compared with other defense vendors, GRVTY emphasizes rapid field deployment, portability, and a tight integration between hardware for RF data collection and software platforms for analysis, enabling users to maintain a strategic edge in volatile, globally influenced threats. The company aims to help defense clients monitor, understand, and respond to evolving risks by providing reliable RF intelligence and platforms that support real-time decision making.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
McLean, VA
Founded
2024

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