The Geospatial Data Science team in NREL’s Strategic Energy Analysis Center has an immediate opening for a Geospatial Data Science Analyst to pursue a cross-disciplinary research project in analysis and visualization of spatial and temporal data to help solve real-world energy system design problems. This position will focus on creating new capabilities to analyze scenarios and design solutions for complex challenges in sustainable energy development for a variety of clients both within NREL and external to the laboratory. The successful candidate will help to develop analysis and visualization frameworks to model design problems that are inherently spatiotemporal in resource availability, energy distribution networks, and energy demand scenarios

Duties will include:

Integrating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis. These workflows will include the use of distributed computing and utilization of both cloud and high-performance parallel computing (HPC) resources.
Developing new methods to help researchers, clients, and stakeholders analyze and evaluate design strategies to implement sustainable energy solutions at various geographic and temporal scales.
Modeling complex systems by integrating large spatiotemporal datasets of economic, demographic and energy related information.
Creating visualization interfaces that enable real-time examination of design scenarios both in-person in state of the art visualization labs as well as remotely through web-based frameworks to allow for design processes by stakeholders around the world.
Evaluating and communicating results through written research reports for publication and presentation at seminars, participating in group meetings and seminars, and assisting in developing grant proposals for new research directions.
The ideal candidate will bring a deep background in spatial data analysis, as well as programming skills to integrate various models and tools to solve complex design problems. The candidate must be willing to work in an interdisciplinary field, together with computer scientists, policy analysts, and engineers, and will require excellent interpersonal and communication skills. Other required skills include:

Highly-proficient and extensive experience with geospatial analysis and modeling techniques
Familiarity with advanced quantitative methods and/or system modeling
Demonstrated ability to produce scientific visualizations, including cartographic products
Strong scientific programming and algorithm development skills and demonstrated use of Python in spatial analysis
Demonstrated experience in management of spatiotemporal data in SQL and/or NoSQL databases

About NREL

The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an energy future that is both environmentally and economically sustainable. With locations in Golden, Boulder and Washington D.C., NREL is the primary laboratory for research, development and deployment of renewable energy technologies in the United States. The NREL mission is to develop renewable energy and energy efficient technologies and practices, advance related science and engineering, and transfer knowledge and innovation to address the nation’s energy and environmental goals.