Geospatial Analyst - Mid

GRVTY

$85K — $105K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 various data structures and visualization tools for data exploitation
  • Advanced geospatial analysis skills
  • Strong understanding of evolving technology and methodologies in geospatial contexts

Responsibilities

  • Leverage multi-INT data to curate imagery for model development
  • Recommend curation strategies based on data characteristics and gaps
  • Conduct data mining and retrieval using statistical analysis
  • Develop methods for processing and analyzing large data volumes
  • Visualize data to create predictive models and conduct alternative analysis
  • Conduct spatial-temporal analysis to support imagery curation
  • Exploit imagery and analyze geospatial data with relevant tools
  • Utilize programming and visualization methods to extract insights

Benefits

  • Comprehensive benefits package supporting employee and family well-being
  • Includes healthcare coverage
  • Offers financial wellness and retirement planning assistance
  • Supports continued education opportunities
  • Provides paid time off for work-life balance
Full Job Description
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
  • 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.

Virginia Pay Range

$85,000-$105,000 USD

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