Data Scientist – Energy System
Listed on 2025-12-21
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Engineering
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Research/Development
Data Scientist
Overview
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Energy and Environment Directorate delivers science and technology solutions for the nation’s biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation’s power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system;
and resolving complex issues in nuclear science, energy, and environmental management.
The Electricity Infrastructure and Buildings Division, part of the Energy and Environment Directorate, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy.
ResponsibilitiesThis position will provide support to the Laboratory’s research in Optimization and Control of Energy Systems. This position will focus on research at the intersection of controls, learning, and computing with an emphasis on data driven and learning based control methods for enhancing the efficiency of energy systems including the electric power grid, buildings, and transportation systems. A successful candidate will be required to conduct independent research, develop new ideas and contribute to research proposals, engage with business development managers in relevant areas, prepare manuscripts for publication, and present their work to clients and at conferences.
- Providing technical input on large, complex, formal documents, such as project reports, lead author on journal articles, conference papers, and presentations.
- Selecting and developing technical approaches to project work assignments.
- Contributing to technical proposals for developing new projects and business.
- Working with senior staff and project managers to develop and implement project management plans for moderate to large projects.
- Working in a team environment of high-performance multi-disciplinary experts.
- Accountable to team leader, group leader and project managers for project development, execution, and closure.
Minimum Qualifications:
- BS/BA and 2 years of relevant experience
-OR- - MS/MA
-OR- - PhD
Preferred Qualifications:
- Strong technical background in statistical methods, reinforcement learning, uncertainty quantification.
- Good understanding of and interest in advanced grid modeling techniques, renewable energy systems, and energy policy.
- Research experience in demand response, energy storage and other distributed energy resources.
- Proficiency in programming languages such as Python, C; experience in technical writing.
- Experience applying machine and deep learning or statistical methods to domain specific applications, such as buildings and power grid.
None
Testing Designated PositionThis is not a Testing Designated Position (TDP).
About PNNLPacific Northwest National Laboratory (PNNL) is a world‑class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of…
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