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3 дня назад

GIS Data Analyst (GEOINT)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
GIS Data Analyst (GEOINT): Analyzing and exploiting geospatial intelligence data in GIS frameworks to support intelligence production with an accent on advanced data science methods, geospatial web applications, and intelligence requirements. Focus on developing approaches to key intelligence questions, building dynamic geospatial tools, and combining analytical, inference, and creative problem-solving skills.

Location: Wright-Patt AFB, OH - NASIC, United States of America

Company

hirify.global is an employee-owned company supporting geospatial intelligence and national security assignments.

What you will do

  • Analyze and exploit GEOINT and supplementary data using advanced data science methods in a GIS framework.
  • Support geospatial intelligence production at the National Air and Space Intelligence Center.
  • Help develop approaches for addressing key intelligence questions.
  • Work across multiple tasks and collaborate with scientists, engineers, and analysts.

Requirements

  • Active Top Secret clearance with SCI eligibility.
  • Substantial familiarity with ArcGIS software.
  • Experience designing, developing, and deploying dynamic geospatial web applications and tools.
  • Strong analytical, inference, critical-thinking, and creative problem-solving skills.
  • Ability to work independently and in a team environment.
  • Strong technical writing and briefing skills.

Nice to have

  • Proficiency developing custom solutions with ArcGIS Online, ArcGIS Portal, and ArcGIS Enterprise, especially ArcGIS Experience Builder, ArcGIS Dashboards, and Survey123.
  • Ability to code or script, especially in Python.
  • Experience with data science and visualization tools.
  • Background in machine learning or artificial intelligence.
  • Experience with GEOINT data, including non-literal data.
  • Knowledge of remote sensing datasets.
  • Experience in the Intelligence Community.
  • Bachelor’s degree or higher in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, Geography, or another STEM field.

Culture & Benefits

  • Employee ownership.
  • 401(k) benefits.
  • Health, dental, life, and vision insurance.
  • Educational reimbursement.
  • Competitive salaries and a pleasant work environment.

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