NREL Geospatial Data Science - Researcher II in Golden, Colorado
Geospatial Data Science - Researcher II
CO - Golden
Hours Per Week
The Geospatial Data Science team in NREL’s Strategic Energy Analysis Center has an immediate opening for a Geospatial Data Scientist to pursue cross-disciplinary research projects 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 visualizations for the purpose of communicating analysis results with maps and plots for presentations and publications.
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.
Bachelors or Advanced Degree.
Master's Degree . Or, relevant Bachelor's Degree and 2 or more years of experience .
General knowledge and application of scientific technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good technical writing, interpersonal and communication skills.
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. Analysis being done on the team predominantly do not use ESRI-based tools. Therefore, the ideal candidate should have spatial analytical skills that leverage open-source software and programming languages that can be implemented on Linux based systems and scaled for big data applications. 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 using open-source tools; ESRI-based analysis skills not required or preferred
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
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The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.
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