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About the Role

The Emerging Threats and Technologies Division is seeking a Data Scientist with expertise in AI and a passion for solving mission-critical challenges. This role involves applying AI and machine learning models, analyzing datasets, and performing research to address critical national security challenges within the nuclear nonproliferation, policy, and emerging technology domains. The position supports PNNL's mission by contributing to impactful R&D projects.

Responsibilities

Design and implement AI/data science solutions to address complex national security problems, with a focus on nuclear nonproliferation, strategic policy analysis, and emerging/disruptive technology assessment.
Design and implement AI/data science solutions to address complex technical challenges, including all-source analysis, object detection, data fusion, and end-to-end data science workflows.
Design, develop, and implement methods, processes, and systems to analyze diverse datasets, including approaches that traverse and integrate modalities.
Demonstrate ability to transfer skills across application domains with a deployment-focused approach, specifically in support of non-proliferation mission.
Develop and evaluate predictive models and advanced algorithms to extract actionable value from structured and unstructured data.
Identify and assess domain-relevant data resources; translate findings into actionable technical approaches and mission-relevant capabilities.
Apply machine learning, data modeling, and software engineering to integrate and clean data, quantify uncertainty, identify patterns, and generate insights from high-dimensional datasets.
Understand how to traverse the nexus of policy, data science, and software engineering to develop data science solutions against real-world constraints.
Deliver solutions driven by exploratory data analysis and rapid prototyping, with a focus on transition to operational use.
Build and maintain external partnerships that strengthen the team’s technical reputation and align outcomes with sponsor priorities.
Serve as a principal investigator (PI) or co-PI on projects and tasks that integrate multiple capabilities and/or interdisciplinary approaches.
Mentor and guide junior staff, fostering technical excellence and professional development.

Requirements

BS/BA and 5+ years of relevant work experience OR MS/MA and 3+ years of relevant work experience OR PhD with 1+ year of relevant experience
Demonstrated ability to rapidly assess ambiguous situations, exercise sound judgment with limited time/inputs, and communicate well-considered recommendations.
Experience applying traditional statistical methods, ML, and AI to unimodal and multimodal open-source data (e.g., text, image, audio, video, graph), including preprocessing, representation/encoding, and task-specific modeling/decoding.
Experience with scientific data modalities include microscopy, radiation spectra, or mass spectrometry.
Strong proficiency in Python and experience with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Experience navigating research codebases (e.g., notebooks, prototype scripts) and translating them into maintainable, production-ready components.
Experience designing and deploying scalable ML pipelines or AI-enabled tools in operational or mission-critical environments (on-prem and/or cloud).
Experience in data management for AI applications including system design, version control, and experimental dataset curation.
Excellent communication and cross-functional collaboration skills; ability to bridge research, engineering, and domain stakeholders.
Proficiency in at least one general-purpose programming language (e.g., Python, R, Julia, Java, C/C++).
Experience working with sensitive and/or classified data in a national security context (preferred).
Demonstrated experience applying Intelligence Community Directives pertaining to collection and disseminating all-source intelligence analysis.
Experience leading small to mid-sized teams (approximately 5+ staff) to deliver applied technical work.
Experience briefing non-technical audiences.
U.S. Citizenship
Ability to obtain and maintain a federal security clearance.
Must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Must pass a drug test prior to commencing employment.
Must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.
Must disclose any affiliation with the government of a "country of risk" and recuse or receive approval.

Skills

AI
Data Science
Machine Learning
Python
PyTorch
TensorFlow
Hugging Face
Data Modeling
Software Engineering
Exploratory Data Analysis
Rapid Prototyping
All-source analysis
Object detection
Data fusion
End-to-end data science workflows
Microscopy
Radiation spectra
Mass spectrometry
R
Julia
Java
C/C++

Location

PNNL campus

Work Type

Full-time

Experience Level

5+ years relevant work experience (BS/BA)
3+ years relevant work experience (MS/MA)
1+ year relevant experience (PhD)

Education Level

BS/BA
MS/MA
PhD

Salary/Compensations

USD $140,200.00/Yr.
USD $228,800.00/Yr.

Benefits

Medical insurance
Dental insurance
Vision insurance
Robust telehealth care options
Several mental health benefits
Free wellness coaching
Health savings account
Flexible spending accounts
Basic life insurance
Disability insurance
Employee assistance program
Business travel insurance
Tuition assistance
Relocation
Backup childcare
Legal benefits
Supplemental parental bonding leave
Surrogacy and adoption assistance
Fertility support
Company-funded pension plan
401 (k) savings plan with company match
Up to 120 vacation hours per year
Ten paid holidays per year

About the Company

Pacific 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.
PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.
The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Equal Opportunity

Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency.
We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer.
PNNL considers all applicants for employment without regard to race, religion, color, sex, 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.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment.
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.