National Security Data Scientist

Overview

PNNL connects research, engineering, and operations to innovate quickly and field results faster. This position requires interactions with government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution supported by data science and deep learning techniques.

• Design, implement, and iterate on novel machine learning and deep learning methods to directly address National Security problems.
• Conduct cutting‑edge research supporting national security missions.
• Collaborate with cross‑disciplinary teams to integrate AI technologies into existing and next‑generation AI/ML solutions.
• Produce solutions driven by artificial intelligence, machine/deep learning methods, or exploratory data analysis from complex and high‑dimensional datasets.
• Recreate state‑of‑the‑art architectures, training techniques and analyses from journal publications with minimal examples and/or author code access.
• Define and lead project work at a small task level, mentor interns or early‑career staff.
• Engage in external professional communities, keep up with advancements in AI, machine learning, and data science methods.
• Demonstrate ability to transfer skills across application domains.
• Apply knowledge of statistics, machine learning, advanced mathematics, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data.
• Design, develop, and implement methods, processes, and systems to analyze diverse data to support National Security missions.

Minimum Qualifications:

• BS/BA and 2 years of relevant experience – or
• MS/MA – or
• PhD

Preferred Qualifications:

• 2+ years of experience in Python development and common associated libraries (e.g., Pandas, Num Py, Sci Py).
• 2+ years of experience developing, training, and testing machine learning models in frameworks like PyTorch and Scikit‑Learn.
• 2+ years in machine learning or applied science/research.
• Experience applying machine learning and artificial intelligence to one or more modalities such as text, image, time‑series, sensors, radio‑frequency data, multimodal applications.
• Experience in machine learning or applied science/research for national security challenges.
• Active DOE Q clearance and ability to maintain such clearance.
• Active TS/SCI clearance and ability to maintain such clearance.

Not applicable.

• U.S. Citizenship.
• Background Investigation:
  Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
• Drug Testing:
  All security clearance positions are testing designated positions, requiring pre‑employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
• Security Clearance:
  Ability to obtain and maintain a federal security clearance. Active DOE Q or TS/SCI clearance required.

Pacific Northwest National Laboratory is an Equal Employment Opportunity and affirmative action employer and considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.