Remote Sensing Scientist

Title:

Belong. Connect. Grow. with KBR! 

Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. We all share one goal: to improve the world responsibly and safely by supporting the science that informs decision makers and protects Earth.

KBR’s Science and Space division is seeking a Remote Sensing Scientist to support our Technical Support Services Contract (TSSC) at the United States Geological Survey (USGS) Earth Resources Observation & Science (EROS) Center (http://eros.usgs.gov/) near Sioux Falls, SD (http://www.siouxfalls.org). 

This position is aligned with the TSSC Science Division supporting projects led by the USGS Integrated Science and Applications Branch.  The work includes coordination with a team of exceptionally skilled remote sensing scientists, data scientists, geospatial specialists, and systems/software engineers who work together to support dynamic science and technical requirements in collaboration with our USGS customer.

The successful candidate will work locally within a portfolio of projects that focus on remote sensing time-series algorithm development to support higher level geospatial product formulation and implementation.  A strong background in remote sensing science and Landsat product expertise paired with proficient programming, statistical analysis, interpretive, and communication skills will drive decision-making for algorithmic approaches to potential new products.

If you have related education, experience, skills, and commitment to expanding land remote sensing science, we invite you to apply for this position.

RESPONSIBILITIES:

• Coordinate science activities and support systems engineering, software engineering, data management, and operational development teams
• Perform investigative literature and code reviews to assess algorithm approaches and performance
• Independently analyze and resolve unknowns and complex issues associated with emerging remote sensing-based datasets
• Develop science-level code to determine the viability of higher-level product algorithms
• Devise and implement visualization capabilities to aid the assessment of algorithm/model outputs and presentation of results
• Execute intense statistical analysis and interpretation to drive decision making
• Collaborate with USGS stakeholders to create and maintain positive customer relations
• May include travel to attend scientific conferences or other project-related meetings

REQUIRED EDUCATION/EXPERIENCE:

Candidates must meet the requirements listed below to be considered for this position; please note required items on your resume.

• Must have a 3-year residency in the United States.
• This position requires the ability to obtain and maintain a national agency check and background investigation after hire to obtain credentials for facility access and user accounts.

• Education:  PhD degree in Geoscience or related field with emphasis in remote sensing

• Years of Experience: 5+ years of directly related professional experience
  • Fundamental understanding of remote sensing concepts, derivatives, and applications
  • Recent competency with image processing and GIS software, such ERDAS, ArcPro, IDL, MATLAB, FORTRAN
  • Specific experience with remote sensing processing methods supporting Landsat science products 
  • Demonstrated proficiency within the Python ecosystem, such as NumPy, pandas, scikit-learn, GDAL, Rasterio, PyTorch
  • Practical experience working in a collaborative software development environment and associated configuration management tools, such as Gitlab
  • Versatile ability to perform work in variety of development environments, such as high performance compute, Cloud, virtual desktop infrastructure
  • Superior technical writing skills to support new product characterization, manuscript publication, conference presentation, user community documentation, and project communications
  • Productive interpersonal skills that facilitate work and communication with variable levels of technical expertise

WORK LOCATION

This position is anchored in Sioux Falls, SD and performs in a hybrid work environment to support local staff.  Travel may be required for conference participation.

STANDARD KBR REQUIREMENTS:

All of KBR’s employee’s must be team players, able to communicate effectively with internal and external customers, able to follow safety and quality policies, able to follow company programs, processes, procedures, practices, requirements, goals, and objectives. In addition, they must also be organized, with good time management skills.

SPECIAL REQUIREMENTS

• Three years of continuous residency in the U.S. for issuance of a Government Security credential
• The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain a badge for government facility access and user account

Experience and/or Education in lieu of these qualifications will be reviewed for applicability to meet these requirements.

KBR partners with several other companies to fulfill its requirements as a government contractor. The selected subcontracting companies align their benefits as closely as possible to those above.

KBR Benefits​

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.  We support career advancement through professional training and development.​

Click here to learn more:  KBR Benefits

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

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.