Mission Geospatial Data Scientist

Vantor•Herndon, VA

2d•$137,000 - $200,200•Onsite

About The Position

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. This position requires an active U.S. Government Security Clearance at the TS/SCI level. Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you’ll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We’re seeking an experienced Mission Data Scientist to work across the full analytical workflow—from pattern identification, building mission data model workflows/analytics and data visualization.

Requirements

Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
Bachelor's degree with relevant experience
8+ years developing and implementing enterprise geospatial intelligence / operational analytics modernization, data strategy initiatives across defense and intelligence environments
Experience leading cross-functional teams and managing projects / programs supporting complex organizational objectives
Experience with geospatial datasets, analysis and GIS technologies.
Experience working with remote sensing, including EO / SAR imagery metadata, sensor-based data streams and familiarity with government collection platforms.
Experience developing predictive analytics, enterprise geospatial systems, and real-time operational intelligence solutions supporting mission-critical decision-making
Experience utilizing programming languages / tools for data analysis, automation, and reporting, such as Python, SQL, R,
Ability to manage multiple priorities in fast-paced operational environments
Strong communication and organizational skills, with experience briefing technical and non-technical audiences

Nice To Haves

Ability to lead multi-disciplinary teams to complete complex data science projects
Ability to manage multiple priorities in fast-paced operational environments
Experience presenting analytical findings to executive leadership
Experience serving as Product Owner, Scrum Master, Agile Lead, or Program Manager
Experience developing dashboards and executive reporting solutions using tools such as Tableau, Splunk, ArcGIS, or equivalent platforms

Responsibilities

Work in tandem with team members and stakeholders to develop methods that solve their geospatial challenges with complex data sets, pattern identification, and visualizations.
Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
Communicate progress, results, risks, and challenges to government clients, partners, and project leadership
Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations
Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.