778,720open jobs
48,939companies
119,268added this week
Browse all
Salary
$140k per year
Location
In office (Seattle)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
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:https://www.pnnl.gov/ai-and-data-analytics

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.
  • 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[email protected].

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.

Minimum Salary

USD $140,200.00/Yr.

Maximum Salary

USD $228,800.00/Yr.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
778,720 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Seattle
≈ $49k – $135k per year (Estimated) • In office • South Korea
SQL
Databases
MySQL
PostgreSQL
Snowflake
Databricks
Apache Iceberg
DynamoDB
AI/ML
Spark
Airflow
OpenCV
Jupyter Notebook
NumPy
PyTorch
Streamlit
Amazon SageMaker
DevOps
Terraform
Ansible
GCP
GitHub Actions
CloudFormation
Azure
Git
AWS
Docker
Kubernetes
Ubuntu
GitHub
GitLab
Amazon ECS
Analytics
Matplotlib
Plotly
Management
Confluence
Agile
Apply
$156k – $315k per year • In office • Full-Time • 4+ years exp • Master's Degree • San Jose
Python
Python
FastAPI
Databases
OpenSearch
AI/ML
LangGraph
LangChain
Claude
Model Context Protocol
Fine-tuning
Prompt Engineering
Function Calling
AI Agents
Langfuse
AWS Bedrock
LLM
RAG
Semantic Search
Hybrid Search
Anomaly Detection
Time Series Forecasting
OpenAI Agents SDK
Structured Outputs
Semantic Search
E2B
Agentic Workflows
Tool Use
Machine Learning
Frontend
GraphQL
DevOps
Rest API
GitHub Actions
Prometheus
CI/CD
ArgoCD
Jenkins
AWS
Docker
Kubernetes
Analytics
A/B Testing
Apply
Equity • In office
Python
Go
Java
Rust
SQL
Scala
Databases
PostgreSQL
Redis
Neo4j
Databricks
Apache Kafka
AI/ML
Machine Learning
DevOps
Azure
CI/CD
AWS
Kubernetes
Platform Engineering
Amazon Kinesis
Cybersecurity
SOC 2
GDPR
Apply
≈ $22k – $46k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Hyderabad
SQL
Databases
Snowflake
DevOps
Azure DevOps
Azure
Analytics
Power BI
ETL/ELT
Management
Agile
Apply
Data Bricks Developer 6 months ago
In office • Full-Time • 5+ years exp
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
AI/ML
Spark
DevOps
GCP
Azure
CI/CD
AWS
Analytics
ETL/ELT
Apply
AI Engineer 7 hours ago
≈ $52k – $140k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Barcelona
Python
SQL
Databases
Pinecone
AI/ML
LangGraph
Weights & Biases
LangChain
Prompt Engineering
AI Agents
AWS Bedrock
LLM
RAG
OpenAI
Multi-Agent Systems
DevOps
CI/CD
Git
AWS
Docker
Kubernetes
Apply
Hybrid • Full-Time • 5+ years exp • Madrid
JavaScript
Java
TypeScript
Java
Spring Boot
Frontend
React.js
DevOps
Rest API
CI/CD
Git
Management
Agile
Apply
$60k – $84k per year • In office • Internship • San Francisco
Python
JavaScript
TypeScript
AI/ML
Copilot
Cursor
Claude
Claude Code
Model Context Protocol
Vertex AI
AI Agents
LLM
OpenAI
Anthropic
LLM Guardrails
Tool Use
Frontend
Next.js
React.js
DevOps
Azure
AWS
Kubernetes
Apply
Go-to-Market Engineer 7 hours ago
≈ $136k – $265k per year (Estimated) • Equity • In office • Full-Time • 5+ years exp • United States
SQL
Databases
Snowflake
Google BigQuery
BigQuery
AI/ML
Claude
Claude Code
Model Context Protocol
Prompt Engineering
AI Agents
DevOps
SLI/SLO/SLA
Robotics
Apollo
Management
n8n
Apply
$11k – $22k per year • In office • Moscow
Management
Jira
QA
Charles Proxy
Apply
$114k per year • In office • TS/SCI • Full-Time • 5+ years exp • Bachelor's Degree • Seattle
Python
AI/ML
LangGraph
LangChain
Computer Vision
AI Agents
NLP
Explainable AI
Red Teaming
Interpretability
Apply
$132k – $179k per year • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
Python
SQL
Scala
Databases
Amazon Redshift
AI/ML
Hadoop
Spark
AI Agents
RAG
Human-in-the-Loop
LLM Guardrails
DevOps
AWS
AWS Lambda
Amazon S3
IAM
Amazon Kinesis
Analytics
ETL/ELT
AWS Glue
Apply
$100k – $160k per year • Equity • In office • Full-Time • 3+ years exp • Seattle
Python
SQL
MATLAB
SAS
Databases
Oracle
DynamoDB
Amazon Redshift
DevOps
AWS
Amazon EC2
Amazon S3
Analytics
Tableau
ETL/ELT
Apply
Account Executive 7 hours ago
$75k – $150k per year • Remote (United States) • Full-Time • 1+ year exp • Seattle
Cybersecurity
DLP
Design
Webflow
Management
UiPath
Stripe
Marketing
LinkedIn
Apply
$140k – $200k per year • Remote (United States, Indonesia, Malta) • Full-Time • 1+ year exp • Seattle
Apply
Project Coordinator 8 hours ago
$54k – $76k per year • In office • Full-Time • 3+ years exp • High School Diploma • Seattle
DevOps
Windows
Apply
See all jobs
This is one of many
778,720 more open roles from verified company boards, updated every day.