Spatial Data Scientist

DescriptionWe are looking for a highly motivated Spatial Data Scientist to work alongside a team of engineers and researchers at the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) in Morgantown, WV or Albany, OR. The successful candidate will conduct high-impact research focused on accelerating carbon management, mitigating methane emissions, evaluating energy infrastructure, and critical minerals. This position offers the opportunity to work on cutting-edge projects with global impact and to be mentored by leading energy scientists and engineers. The role involves spatial data acquisition, processing, and integration, Python scripting, identification of credible data sources, quality assurance and control of geospatial data products, collaboration with an interdisciplinary team, scientific writing, and project leadership.Primary Responsibilities:Support the acquisition, processing, and integration of spatial data using Geographic Information System (GIS) software and Python scripting.Provide advanced Python scripting support and identify credible data sources.Support quality assurance and control of geospatial data products and associated metadata.Support spatial and statistical analytics, as well as utilize artificial intelligence and machine learning algorithms.Collaborate with an interdisciplinary team, lead in the writing of science-based methods, results, and data interpretations for publications, and provide weekly and monthly technical updates to research team members and project management.Required Education, Experience & Other:Master's degree in Geography, Environmental Sciences, Data Science, Petroleum Engineering, or related field. (PhD preferred)2+ years relevant work experience programming in Python for spatial data acquisition, processing, and analytics.Proficient in non-spatial and spatial data management, handling, and analytics using GIS software, PostgreSQL, and Python libraries.Experience in communicating science to a range of audiences, identifying and acquiring credible data, and collaborating on a dynamic team. Leadership skills coordinating multiple teams and projects are essential.Must be able to meet the requirements for gaining access to work on the NETL campus.U.S. CitizenPreferred Qualifications:Expertise with artificial intelligence and machine learning algorithms for spatial and statistical analysis.Experience working with energy regulator and infrastructure datasets, and advanced knowledge related to energy infrastructure.Experience developing ESRI Web Applications, including Experience Builder and Dashboards.Experience working for a U.S. national laboratory or as a research site-support contractor.