Geospatial Data Scientist - Military veterans preferred

Kellogg Brown & Root (


  full-time   employee

Sioux Falls
South Dakota
United States


Geospatial Data Scientist

KBR, Inc . is seeking to fill a full-time Geospatial Data Scientist position to support the U.S. Geological Survey (USGS) at the Earth Resources Observation and Science (EROS) Center (, located near Sioux Falls, SD (

The successful candidate will become an integral part of the Land Processes Distributed Active Archive Center (LP DAAC,, a National Aeronautics and Space Administration (NASA) funded project, located at the USGS EROS Center. The LP DAAC operates as a partnership between the USGS and NASA and is a component of NASA’s Earth Observing System Data and Information System (EOSDIS). Geospatial Data scientists, system engineers, user service representatives, and outreach staff work together to support LP DAAC activities and distribute data to the science user community. The Geospatial Data Scientist will utilize Geographic Information System (GIS) software and scripting techniques against a broad spectrum of remote sensing data to evaluate and provide quality assurance of LP DAAC science data.

The selected candidate will identify and develop practical solutions to science application problems. Additionally, the Geospatial Data Scientist will investigate innovative and emerging technologies and author technical reports and scientific media. If you have a related skillset/background and are interested in an exciting and challenging career in this field, we invite you to apply for this position.

Education :

  • Bachelor’s degree in remote sensing, geography, environmental science or equivalent.
  • Master’s degree is preferred.

Experience :

  • 3 years of directly related professional experience.

Responsibilities :

  • Participates in research and data evaluation activities as part of a multidisciplinary team which includes task leads, system development teams, communications and outreach, and user services
  • Uses GIS software and scripting techniques to analyze the specifications of new products and metadata, determine whether their results are expected and accurate
  • Works closely with data providers and science teams, documenting the characteristics of new products and provides relevant to science teams and users, user guides, web content and publications
  • Applies scientific methods in research projects and contributes to the writing, editing, and review of publications.
  • Evaluate and communicate strategies for routine quality assessment of LP DAAC datasets and products
  • Gains and expands product knowledge in conjunction with science teams so that user questions can be adequately addressed and answered
  • Authors web content and presentation materials for conferences and workshops as opportunities are available
  • Prepares and presents project results and methodology to customers as requested.
  • Maintains regular communication with staff, customers, and managers

Required Skills:

  • Fundamental understanding of the characteristics and applications of instruments such as LIDAR, MODIS, VIIRS, ASTER and Hyperspectral
  • Demonstrable knowledge of GIS techniques, remote sensing principles, and related science applications
  • Demonstratable knowledge of processing and analyzing imagery with GIS and remote sensing software packages, such as ArcGIS, ArcGIS Pro, ERDAS, ENVI and QGIS
  • Demonstratable knowledge with scripting languages, such as Python and/or R.
  • Familiarity with raster and vector data processing techniques
  • Familiarity with metadata standards
  • Ability to communicate regularly, professionally, and clearly at general, technical and management levels to inform team members, science teams and the science user community
  • Strong attention to organization, detail and record keeping
  • Excellent written and oral communication skills, including effective questioning, listening, and presentation skills
  • Self-starter with an ability to multi-task

Desired Skills:

  • Demonstrable proficiency with using GDAL for science data transformations and metadata validation
  • Ability to write and publish project work in highly visible outlets
  • US Citizenship

Candidates must have strong technical abilities, excellent communication skills, and a teamwork emphasis. Candidates must also be able to integrate into a highly-skilled Information Technology Team.

The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain a badge for facility access and user accounts.

This position will be posted to the career opportunities listing on the KBR website ( ).

This position may be filled by a KBR teammate on the TSSC Contract. Please apply on-line.

KBR is an equal opportunity employer. EOE/m/f/disabled/veteran.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

KBR is a global provider of differentiated professional services and solutions across the asset and program life cycle within the government services and technology sectors. KBR employs approximately 28,000 people worldwide with customers in more than 80 countries and operations in 40 countries. ?

KBR is proud to work with customers across the globe to provide technology, value-added services, and long- term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.

Fraud Alert

Attempts to commit fraud against individuals has infiltrated the job placement market both on the internet and through direct phone or email contact. Such attempts have on occasion, included the unauthorized use of KBR’s name and logo to solicit potential job seekers for employment or to extend fraudulent job offers. Bad actors may place advertisements for fake positions mixed with legitimate job postings, with false contact instructions for expressing interest of obtaining additional information. These misrepresentations typically include promises of high-paying jobs with the requirement that job seekers send sensitive personal information or money to pay for things such as visa applications or processing fees.

Please be advised that KBR will never ask a potential job seeker for any sort of advance payment as part of the recruiting or hiring process, and candidate profiles are carefully managed to protect personal information.