Geospatial Data Scientist (TS/SCI)

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. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, 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). Please review the job details below. Vantor is currently seeking a Geospatial Data Scientist who will be responsible for providing technical expertise in support of customer projects involving dynamic geospatial information to include non-traditional GEOINT, OSINT, SIGINT, and foundational intelligence data. Analytic products will fuse multiple sources of information into key findings, and geo-temporal pattern-of-life analysis to provide insight to customer requirements.    As a Vantor team member, you will have the opportunity to closely support our mission partners, and your work will have a direct impact on mission imperatives.  In this role, you will work closely with other software developers, data analysts, data scientists and subject matter experts.  What You’ll Be Doing:   The role will focus on ingesting, spatially processing, applying targeting analytics, and enabling further correlation to other datasets in our on-prem HPC utilizing internal and external tools. This work will include:    Scaling analytics for pattern-of-life development  Enabling ingest and spatial processing of internal and external data sources   Developing spatial analytics within our big data science environment to perform correlations at scale, across multiple data types for further discovery and processing  Working with internal and external customers to refine code, develop new analytics and new methodologies to export points and places-of-interest to customers and partners   Create and apply automation workflows to better enable current AAP tools (Mosaic, Quantum Horizon and BDSE) to better support CPAAC customers and partners    Minimum Requirements:    Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.  At least 10 years of experience as a data analyst, data scientist or similar.  Experience working with a scripting language like Python, SQL, or similar.  In-depth knowledge of technical data types based on previous research and work with data protocols of…