Data Scientist - Advanced Energy Systems

Pacific Northwest National Laboratory•Richland, WA

8d•Onsite

About The Position

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.

Requirements

BS/BA or higher
U.S. Citizenship

Nice To Haves

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 building technical recognition of the research area at the national level.
Excellent technical writing skills and a track record of publishing in peer-reviewed journals.
A demonstrated ability to lead or contribute to the development of competitive research proposals to government and private clients.
Already has a U.S. security clearance.

Responsibilities

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.