Senior Data Scientist/PI - Evaluating Foundation Models and SI Agents for National Security
Compensation
Not disclosed
Location
Richland Campus
Work setup
Not specified
Seniority
Senior
Employment
Not specified
Experience
1+ years
Category
Data science
Posted
Skills
agentic-ai
ai
analytics
business-development
computer-vision
confluence
data-analytics
data-science
generative-ai
git
gitlab
jira
llm
machine-learning
nlp
python
pytorch
typescript
version-control
Must have
BS/BA and 5+ years of data science experience -OR-
MS/MA and 3+ years of data science experience -OR-
PhD with 1+ year of data science experience
Experience setting technical direction and leading technical work of yourself and others on research projects.
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
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random
Nice to have
Experience as a principal investigator of federally funded research and development projects, or owning an evaluation workflow or small-to-medium technical project (leading technical work of yourself
Experience developing and leading the design of evaluation environments, agentic harnesses, behavioral tests, validated graders, or continuous-evaluation pipelines (including "LLM-as-a-judge" methods
Experience analyzing model behavior beyond aggregate performance metrics, including failure modes, data-slice performance, robustness, generalization, calibration, uncertainty, or distribution shift.
Experience evaluating systems that combine generative AI with deterministic NLP, computer vision, retrieval, knowledge graphs, rules, or analytical tools.
Strong experience using Python and frameworks such as PyTorch to conduct reproducible machine-learning research.
Robust experience with version control (Git) and collaborative software development practices to maintain reproducible research repositories.
Evidence of applied research impact for national security applications, demonstrated through peer-reviewed publications, technical reports, open-source contributions, prototypes, sponsor briefings, or
Experience leading research proposals and mentorship of junior technical staff into technical leaders.
Active TS/SCI clearance.
Full description
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, Integrated Discovery 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 National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Read more about the AI & Data Analytics division:
Responsibilities
We are seeking a Senior Data Scientist to lead cutting-edge applied research for national-security applications. In this role, you will move beyond traditional evaluation practices and aggregate benchmark scores to design comprehensive evaluation harnesses, lead novel test & evaluation (T&E) method development, and help shape the technical direction of T&E for large programs.
As a Senior Data Scientist, you will own critical evaluation workstreams and lead small to medium research projects, translate national security needs into novel evaluation frameworks, and champion rigorous, reproducible data science and research practices. In addition to technical execution, you will actively mentor junior staff and lead business development and proposal efforts to secure funding that aligns with or expands our division’s AI research and T&E capabilities.
Key Responsibilities:
Project & Technical Leadership: Own defined workstreams or small-to-medium projects evaluating LLMs, VLMs, AI agents, agentic workflows, and integrated AI systems for national-security missions.
Technical Leadership: Translate complex national security mission needs into strategic T&E frameworks, operational scenarios, evaluation criteria, and technical approaches specifically tailored for generative AI (large language models (LLMs), vision-language models (VLMs)) and agentic pipelines.
Mentorship: Mentor junior staff and interns and coordinate work across multidisciplinary teams to grow junior staff into technical leaders.
Senior Data Scientist/PI - Evaluating Foundation Models and SI Agents for National Security at Pacific Northwest National Laboratory (Richland Campus) — aijobsearch
Evaluation Framework Design: Assess systems at the model, component, workflow, and end-to-end levels. Design evaluation plans that integrate aggregate performance measures with behavioral analysis, failure characterization, meaningful data slices, robustness testing, calibration and uncertainty, and mission-context evidence.
Harness & Tool Development: Select, design, and/or develop evaluation environments, test harnesses, agentic harnesses, datasets, deterministic baselines, rubrics, and validated automated or model-based graders.
Technical & Collaborative Leadership: Serve as a role model for research and engineering best practices within the team. Champion collaborative data science workflows, ensuring all research, code, and models are version-controlled, fully documented, and reproducible across your project team(s) using our collaborative tools (Git, Gitlab, Jira, Confluence, Microsoft 365, etc.).
Technical Communication: Synthesize evaluation results, operational constraints, and uncertainties into technical reports, documentation, and peer-reviewed publications. Present research at technical conferences through accepted papers or invited talks.
Stakeholder Engagement: Deliver compelling briefings tailored to both technical experts and non-technical stakeholders, clearly connecting technical findings to mission impact. Drive technical discussions and deliver briefings to sponsors and domain experts to inform and shape project direction.
Work Location & Requirements:
This position is based in Richland, WA or Seattle, WA and requires an onsite presence.
This position requires the ability to obtain and maintain a federal security clearance. (see below for details)
Qualifications
Minimum Qualifications:
BS/BA and 5+ years of data science experience -OR-
MS/MA and 3+ years of data science experience -OR-
PhD with 1+ year of data science experience
Experience setting technical direction and leading technical work of yourself and others on research projects.
Preferred Qualifications:
Experience as a principal investigator of federally funded research and development projects, or owning an evaluation workflow or small-to-medium technical project (leading technical work of yourself and others) involving LLMs, VLMs, or AI agents.
Experience developing and leading the design of evaluation environments, agentic harnesses, behavioral tests, validated graders, or continuous-evaluation pipelines (including "LLM-as-a-judge" methods or evaluation agents).
Experience analyzing model behavior beyond aggregate performance metrics, including failure modes, data-slice performance, robustness, generalization, calibration, uncertainty, or distribution shift.
Experience evaluating systems that combine generative AI with deterministic NLP, computer vision, retrieval, knowledge graphs, rules, or analytical tools.
Strong experience using Python and frameworks such as PyTorch to conduct reproducible machine-learning research.
Robust experience with version control (Git) and collaborative software development practices to maintain reproducible research repositories.
Evidence of applied research impact for national security applications, demonstrated through peer-reviewed publications, technical reports, open-source contributions, prototypes, sponsor briefings, or transitioned capabilities.
Experience leading research proposals and mentorship of junior technical staff into technical leaders.
Active TS/SCI clearance.
Hazardous Working Conditions/Environment
Travel may be required for project events
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
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, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants 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).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
About PNNL
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; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. 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.
Commitment to Excellence and Equal Employment 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. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
Drug Free Workplace
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.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
Security, Credentialing, and Eligibility Requirements
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
Mandatory Requirements
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Rockstar Rewards
Employees and their families are offered 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, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
Research Associates excluded.
**All benefits are dependent upon eligibility.
Click Here For Rockstar Rewards
Notice to Applicants
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.