Geospatial Data Scientist (TS/SCI)

Vantor•Springfield, VA

1d•Onsite

About The Position

Vantor is seeking a Geospatial Data Scientist to provide technical expertise for customer projects involving dynamic geospatial information, including non-traditional GEOINT, OSINT, SIGINT, and foundational intelligence data. The role involves fusing multiple information sources into key findings and performing geo-temporal pattern-of-life analysis to meet customer requirements. As a team member, you will closely support mission partners, with your work having a direct impact on mission imperatives. You will collaborate with software developers, data analysts, data scientists, and subject matter experts. The position focuses on ingesting, spatially processing, applying targeting analytics, and enabling further correlation with other datasets in an on-prem HPC environment using internal and external tools. This includes scaling analytics for pattern-of-life development, enabling ingest and spatial processing of various data sources, developing spatial analytics within a big data science environment for large-scale correlations, and working with customers to refine code and develop new analytics. You will also create and apply automation workflows to enhance existing tools to better support customers and partners.

Requirements

Must have a current/active TS/SCI.
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 interest (Technical Telemetry Data, telecommunication protocol data types including cellular, wi-fi, and ethernet).
Experience performing data analysis for the purposes of working with partners to help inform and scale their analytics.
Must be able to work on-site in Springfield, VA.
Must be a U.S. Citizen.

Nice To Haves

Comfortable briefing senior level leaders.
Experience conducting Activity-Based Intelligence or Pattern of Life analysis.
Experience creating new and innovative analytical workflows and methodologies and creating scalable solutions for existing workflows.
Experience in a customer facing role.
Experience with Spark, Pyspark, or Spark SQL.
Experience working with Jupyter Notebooks.
Experience working with other intel analysts and/or special operations customers.

Responsibilities

Provide technical expertise in support of customer projects involving dynamic geospatial information (non-traditional GEOINT, OSINT, SIGINT, foundational intelligence data).
Fuse multiple sources of information into key findings and perform geo-temporal pattern-of-life analysis.
Ingest, spatially process, apply targeting analytics, and enable further correlation to other datasets in an on-prem HPC environment.
Scale analytics for pattern-of-life development.
Enable ingest and spatial processing of internal and external data sources.
Develop spatial analytics within a big data science environment to perform correlations at scale across multiple data types.
Work with internal and external customers to refine code, develop new analytics, and new methodologies to export points and places-of-interest.
Create and apply automation workflows to better enable current AAP tools (Mosaic, Quantum Horizon and BDSE) to better support CPAAC customers and partners.