Data Scientist - Advanced Energy Systems

Overview

PNNL (Pacific Northwest National Laboratory) is organized into Directorates focused on specific scientific research or functions. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. We operate an Environmental Molecular Sciences Laboratory and host a Department of Energy Office of Science user facility on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation’s energy and environmental challenges.

The Energy Processes and Materials Division within this Directorate develops real-world solutions aligned to the Department of Energy goals, connecting fundamental science to applications in areas such as energy storage, advanced materials manufacturing, applied catalysis, separations, biomass conversions, carbon capture and utilization, and hydrogen production and storage. We pursue a systems perspective that includes discovery, technology development, scale-up, and consideration of regulatory and market acceptance for successful technology commercialization.

• Support PNNL research teams to develop statistically sound test plans and approaches to maximize understanding, including predictive modeling and machine learning.
• Work with research teams to analyze large, complex data sets 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 peer‑reviewed 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 collaborators in industry, academia, and other national laboratories.

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 to guide research and development; experience collaborating with diverse government and/or industry teams; demonstrated ability to lead or contribute to complex technical projects with national visibility; excellent technical writing skills and a track record of publishing in peer‑reviewed journals;

demonstrated ability to lead or contribute to development of competitive research proposals; and U.S. security clearance already held.

• Hazardous Working Conditions/Environment:
  Not Applicable
• Security, Credentialing, and Eligibility:
  Requires ability to obtain and maintain a federal security clearance. Includes background investigation and verification in accordance with 10 CFR 710, Appendix B, and related requirements.
• Requirements: U.S. Citizenship;
  Background Investigation;
  Drug Testing; pre‑employment and post‑employment random drug testing; ability to demonstrate non‑use of illegal drugs (including marijuana) for the 12 months prior to certain steps in the process.
• Security Designation:
  This is a Testing Designated Position (TDP) with pre‑employment and random drug testing in line with applicable laws and program policies.
• About PNNL:
  Pacific Northwest National Laboratory is a world‑class research institution with a diverse workforce and strong values (Integrity, Creativity, Collaboration, Impact, Courage). We offer benefits including health insurance, flexible schedules, and a strong compensation framework.
• Commitment to Equal Opportunity: PNNL is an Equal Opportunity Employer and provides reasonable accommodations during the application process and employment. If you need assistance or accommodations, contact careers.
• Additional Benefits:
  Rockstar Rewards include medical, dental, vision, telehealth, mental health benefits, wellness coaching, health savings accounts, retirement plans, paid time off, holidays, and other benefits subject to eligibility.
• Compensation:
  Minimum salary USD 90,600 per year;
  Maximum salary USD 144,700 per year. Pay varies by experience, qualifications, and market conditions.