Data Scientist - Advanced Energy Systems

** 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 Energy Processes and Materials Division, part of the Energy and Environment Directorate, creates and delivers real world solutions that support the Department of Energy's goals for national energy security. We deliver new technologies that connect fundamental science to applications in areas such as energy storage, advanced materials manufacturing, applied catalysis, advanced separations, biomass conversions, carbon capture and utilization, and hydrogen production and storage.

We employ a systems perspective that includes discovery, technology development, and scale-up as well as economic, regulatory, and market acceptance issues necessary for successful technology commercialization.

** Responsibilities*
* The Advanced Energy Systems group (AES) is focused on applied research and development in the areas of chemical conversions, applied advanced materials, and the development of novel processes, supporting an array of industrial partners, the Department of Energy (DOE) and other federal agencies. The group is currently seeking a Data Scientist to contribute to a broad base of research and development aimed at new processing solutions, including networks of processes for larger overall impact.

Supporting assessments include techno-economic analyses, life-cycle analyses, and supply chain optimization. The qualified candidate will work with the research teams to guide data collection planning and analyzing the resulting data using rigorous statistical analysis/ exploratory visualization, as well as advanced tools, such as predictive modeling/ machine learning.

Key responsibilities include:

+ Support PNNL research teams to develop statistically-sound test plans/ approaches to maximize ultimate understanding. This includes predictive modeling/ machine learning approaches.

+ Work with research teams to analyze large-complex sets of data using advanced data analysis tools.

+ Manage data analysis tasks with a focus on scope, schedule and budget.

+ Prepare and present complex technical reports.

+ Support manuscript development and maintain a strong publication record in the peer-reviewed scientific literature.

+ Present research at conferences and project review meetings.

+ Support or lead efforts to grow existing funded research, including grant proposal writing and developing relationships with key collaborators in industry, academia and other national laboratories.

** Qualifications*
* Minimum Qualifications:

+ BS/BA or higher

Preferred Qualifications:

+ An advanced degree in data science, computer engineering, or equivalent.

+ A strong fundamental understanding of advanced data analytical techniques, including deep learning.

+ Hands-on experience with AI/ML methodologies for guiding research and development projects.

+ Experience working with a diverse set of government and/or industry teams.

+ A demonstrated ability to lead or contribute to complex technical projects, with an emphasis on…