Data Modeler - Multiple Positions – Springfield, VA

Posted Date 2 weeks ago(11/12/2024 9:05 AM)
Job ID
2024-9833
# of Openings
1
Job Locations
US-VA-Springfield
Category
Geospatial/GIS
Type
Regular Full-Time

Overview

Are you searching for a role where you can grow, work with a team of like-minded geospatial experts, and use your unique skill set to make the world a safer place?  NV5 Geospatial’s (formerly Axim Geospatial) GEO-SPI B program is ideal for geospatial professionals to leverage their unique tradecraft to support our country’s national security mission.

 

Role:  Data Modeler - Multiple Positions 

 

Work Environment:

  • Location is flexible:  NGA offices in Springfield, VA
  • Travel up to 15% of the time

 

NV5 is a global technology solutions and consulting services company with a workforce of over 4,500 professionals in more than 100 offices worldwide.  NV5’s continued growth has been spurred through strategic investments in firms with unique capabilities to help current and future customers solve the world’s toughest problems.  The NV5 family brings together talent across a wide range of markets and fields, including Professional Engineers, Professional Land Surveyors, Architects, Photogrammetrists, GIS Professionals, Software Developers, IT, Project Management Professionals, and more.

 

At NV5 Geospatial, We are a collaboration of intelligent, innovative thinkers who care for each other, our communities, and the environment.  We value both heart and head, the diversity of our people, and their experiences because that is how we continue to grow as a leader in our industry and expand our individual and collective potential.

Responsibilities

  • A Data Modeler at NGA analyzes, defines, processes, executes, and creates methods and models for data capture, transfer, processing, storage, and distribution. Using statistical and spatial analysis techniques, python scripting or geospatial modeling software, the position is to find and create efficiencies for data processing.  They aid in the design, production, and implementation of a federated approach to provide end-to-end Source performance metrics that ensures continuity, consistency, agreement, transparency, and awareness both internally (team-wide) and externally (with customers). 

Qualifications

Requirements (Required): 

  • Bachelor's degree in Geography, Data Science, Remote Sensing, Physical Sciences, Operations Research, or Mathematics or US Military related discipline; additional experience can be used as a substitute for education.
  • A minimum of three years of experience with Geographic Information Systems (GIS), statistical analysis, python programming, data science, business process improvement, or analytic modeling required.
  • Experience using quantitative and qualitative techniques to solve complex problems using analytical tools and techniques such as GIS, data visualization, modeling, systems analysis, comparative analysis, or database techniques.
  • Proficiency with commercial GIS or data exploitation software such as ArcGIS, QGIS, SOCET GXP, RemoteView, Erdas Imagine, ENVI, Google Earth or government equivalents. 
  • Proficiency with commercial statistical, modeling, or visual software such as Tableau and R.
  • Proficiency in python scripting.
  • Ability to perform detailed end-to-end source management performance analysis to support multi-source requirements. (i.e. API interactions, proper data collection and storage methods, simulations of processing various data formats, etc.).  
  • The ability to identify, collect, process, and analyze large volumes of data to produce and enhance products, processes, and systems. 
  • Creativeness to investigate and introduce novel analytical techniques, data mining and retrieval, and statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and visualize results.
  • Ability to work in independently, with little supervision in high-tempo environment.
  • Ability to communicate clearly and efficiently, both orally and in writing. 

Requirements (Desired): 

  • Proficiency in common geospatial software applications and tools, such as Java, HTML, CSS, JavaScript, PostgreSQL, AWS, MongoDB, Jira, CLI, Graph DB, Ruby, NodeJS, C, C++, PostGIS.
  • Familiarity with JEMA and/or Brewlytics.
  • Familiarity with commercial and government off the shelf imagery solutions. 
  • Knowledge of Intelligence processes (e.g., targeting, collection, processing, exploitation, dissemination) and Activity Based Intelligence (ABI).
  • Experience in the Intelligence Community (IC) introducing documented modeled process solutions.
  • Knowledge of intelligence operations and GEOINT phenomenology.
  • Current GEOINT Professional Certification-Foundations (GPC-F). 

Security Clearance Requirements: 

  • For this position it is mandatory to be a United States citizen and have an existing TS/SCI with ability to obtain and maintain a Counterintelligence (CI) Polygraph. Applicants with no clearance will not be considered. 

Competencies & Skills: 

  • Clear and effective written and oral communication with team members and customer(s).
  • Comfortable working with a team to achieve project completion.
  • Keen attention to detail. 
  • Proficiency using MS Office Suite. 

NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.

 

NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

 

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