Geospatial Data Scientist
Geospatial Data Scientist
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Job Description
Leidos is hiring an exceptional and motivated Geospatial Data Scientist to work alongside world class engineers and researchers supporting the mission of the U.S. Department of Energys (DOE) National Energy Technology Laboratory (NETL) in Albany OR. This work will involve a multidisciplinary scientific and technically oriented national laboratory team with participation alongside other data scientists engineers geologists and computer scientists that produces technological solutions for Americas energy challenges.
This position is onsite at the NETL campus in Albany OR.
What this opportunity with Leidos supporting NETL through a Research Support Services (RSS) contract uniquely provides you:
- Working on applied cuttingedge projects with global impact while being mentored by the nations leading energy scientists and engineers.
- Realworld experience supplemented with technical development and discussions that provide unique insight into the broad range of mission critical engineering and scientific disciplines NETL leverages to support national energy research and policy development.
- Access to worldclass customized facilities and computational assets specific to high impact energy research technology generation and product development.
- Support proposal development focused on expanding industry and scientific partnerships and developing new technical opportunities for NETL with federal guidance.
The successful candidate will participate in research focused on Critical Minerals and Materials (CMM) resources. This includes evaluation of unconventional rare earth element (REE) feedstocks of domestic sedimentary basins and providing mineral system expertise for AI/MLdriven methodologies for prediction of CMM in unconventional prospects.
The ideal candidate will have a background in geospatial systems and strong programming skills. They will also have familiarity with natural resource exploration geochemistry and geology (including sedimentary systems). Experience relating to critical minerals and national laboratory research is preferred.
Primary Responsibilities:
- Support the identification acquisition processing and integration of nonspatial and spatial data using Geographic Information System (GIS) software and Python scripting.
- Identify credible data sources through extensive literature reviews and online research then acquire and process data for further analytics.
- Support quality assurance and control of geospatial data products and associated metadata prior to public release following FAIR Principles.
- Support scientific spatial and statistical analytics as well as utilize appropriate artificial intelligence and machine learning algorithms to support energy research.
- Collaborate with an interdisciplinary team including geologists geographers chemists computer scientists environmental scientists and other researchers to assist each other in accomplishing project related tasks.
- Build and maintain relationships with internal and external clients.
- Lead and assist in the writing of sciencebased methods results and data interpretations for publications in high quality scientific peerreviewed journals and technical reports.
- Develop and present results for oral presentations to staff stakeholders and at professional conferences.
- Provide weekly and monthly technical updates to research team members and project management.
- Provide leadership and expertise on projects including delegation to team members and communication of project milestone status to management.
Requirements:
- Must be able to meet the requirements for gaining access to work on the NETL campus
- Must be a U.S. Citizen
- Masters degree in Geography Environmental Sciences Data Science Petroleum Engineering or related field with 3 years relevant work experience programming in Python for nonspatial and spatial data acquisition processing and analytics
- Competent in nonspatial and spatial data management handling and analytics using GIS software PostgreSQL and Python libraries (e.g. arcpy gdal pandas)
- Advanced Python skills with ability to program new scripts and modify existing scripts
- Expert in ESRI products (i.e. ArcGIS Pro ArcEnterprise)
- Experience selecting and applying appropriate spatial and statistical analysis as well as artificial intelligence (AI) and machine learning (ML) algorithms
- Experienced in data analysis report development scientific writing and presentation of results
- Experience in communicating science to a range of audiences (e.g. academic conference technical audience or highlevel management)
- Experience identifying acquiring and processing credible data (including tabular and spatial data) and metadata from online sources
- Experience collaborating on a dynamic team
- Leadership skills coordinating multiple teams and projects
Preferred Qualifications:
- Expertise with artificial intelligence (AI) and machine learning (ML) algorithms for spatial and statistical analysis
- Advanced knowledge and experience related to energy infrastructure (e.g. wells pipelines)
- Experience developing ESRI Web Applications including Experience Builder and Dashboards
- Experience working with energy regulator and infrastructure datasets including production and service records such as permitting inspection and maintenance records
- Experience working for a U.S. national laboratory or as a research sitesupport contractor
Salary Range for this position is $100K to $110K
Original Posting:
May 9 2025For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85150.00 $153925.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Employment Type
Full-Time
