Geospatial Analyst - Mid

Grvty; Falls Church (VA); On-site; USD 85,000 - 105,000; Full time

Job summary

GRVTY is seeking a motivated Geospatial Analyst to apply geospatial tradecraft and data science principles to improve data curation for ML model development. You will leverage multi-INT data and imagery to create labeled data, identify data gaps, and develop strategies for diverse datasets.

Strong programming and GIS skills are essential to generate explanatory models and insights for intelligence challenges.

Qualifications

• Active TS/SCI clearance with ability to obtain CI/Poly.
• Experience with imagery products and multi-INT analysis.
• Ability to use structured, unstructured, and semi-structured data and visualization tools via programming and scripting; advanced geospatial skills.

Responsibilities

• Curate imagery and multi-INT data to support ML model development and data curation.
• Identify data gaps and develop diverse, representative datasets for ML pipelines.
• Apply statistical analyses to identify trends and optimize performance across datasets.

Skills

Geospatial skills

Multi-INT analysis

Programming & scripting

Data visualization

Tools

RemoteView

Cedalion

ArcGIS Pro

Jupyter Notebook

Job description

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

• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Experience with imagery analytical products and conducting multi-INT analysis
• Ability to utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through programming and scripting, including:
  • Advanced geospatial skills
  • Strong understanding of how to apply evolving technology and methodologies to related issues

What Would be Nice to Have

• Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products

Pay Range:

At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

• The pay range for this position is: $85,000 - $105,000