| Location | Falls Church, VA |
What Impact You'll Have
GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm training and evaluation. The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence challenges. This role will drive solutions that improve the quality, diversity, and representativeness of datasets powering ML model development pipelines.
What You'll be Owning
Leverage multi-INT data to curate imagery from emerging capabilities, with curated imagery prioritized for:
Creation of labeled data to support the model development pipeline
Meeting set criteria and characteristics (e.g., geographic coverage, scene attributes) per customer prioritization
Based on the characteristics and limitations of new data, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model development
Identify techniques and methods to conduct data mining and retrieval, applying statistical and mathematical analyses to:
Identify trends and solve problems
Optimize performance
Develop and apply methods by collecting, processing, and analyzing large volumes of data to build and enhance products, processes, and systems
Visualize information using a range of tools, scripts, and algorithms to:
Create explanatory and predictive models
Conduct comparative and alternative analysis to address complex military and intelligence challenges
Conduct spatial and spatial-temporal analysis and statistics of data holdings to support imagery curation, utilizing knowledge of:
Elevation and terrain datasets
Customer-directed prioritization criteria including geographic coverage and scene attributes
Exploit imagery and analyze geospatial data utilizing GEOINT tradecraft, critical thinking skills, and data science principles, including tools such as:
RemoteView
Cedalion
ArcGIS Pro
Jupyter Notebook
Utilize programming, statistics, and visualization methods to glean insights from large and disparate data sources
Select methods and practices to conduct multi-INT research, descriptive analyses, and exploitation of intelligence databases and sources
Implement technical knowledge of GA tradecraft including GIS analyses such as:
Viewshed / Line of Sight (LOS)
Mobility and Order of Battle
Geospatial Synthesis and Modeling
Simulation and Terrain Analysis
Spatial Statistics
What You Must Have
What Would be Nice to Have