Overview
Great minds meet great challenges.
Ready to build what’s next?
At PNNL, Data Scientists work at the intersection of scientific discovery and advanced machine learning, contributing across our major science and technology directorates. Each directorate addresses distinct mission-driven challenges, providing opportunities to develop novel algorithms, advance computational methods, and apply data-centric approaches to complex real-world scientific and national challenges.
We’re looking for passionate Data Scientists who are driven by curiosity, rigor, and impact - individuals who excel in collaborative, interdisciplinary environments and are motivated to push the boundaries of what data and machine learning can achieve. Whether developing scalable models, designing new learning paradigms, deploying AI systems in operational settings, or translating data into actionable scientific insight, you will play a key role in advancing research and enabling high-impact decisions across domains.
We’re hosting a virtual hiring event, giving you the opportunity to connect directly with our hiring teams and explore how your skills align with our work.
Event Details:
Our virtual hiring event will take place during the week of April 27, 2026.
All applications are reviewed based on job-related skills, qualifications, and experience.
Selected candidates may be invited to participate in virtual technical interviews during this timeframe and will be contacted directly with scheduling details.
Apply your skills to meaningful work across our mission driven focus areas:
National Security Directorate (NSD)
Build resilient, secure software and data systems that support high-consequence missions—where performance, reliability, and security are critical.
Physical and Computational Sciences Directorate (PCSD)
Engineer platforms that accelerate scientific computing and discovery—connecting large-scale computing with data-rich scientific workflows (aligned with DOE’s integrated AI platform vision).
There is a strong preference for on‑site/hybrid presence at one of our PNNL campuses, including Richland, WA or Seattle, WA based on the position.
Responsibilities
Skills We’re Seeking:
- Machine Learning and Deep Learning: Scalable learning architectures for high-dimensional and multimodal data, including domain aligned deep learning, NLP, and scientific ML with hands-on experience developing, training, and testing models.
- Generative AI and Foundation Models: Development and evaluation of large-scale generative systems, including fine-tuning, agents, tool use, and optimization for robustness, alignment, and efficiency.
- AI Assurance, Security, & Evaluation: Knowledge of adversarial machine learning, explainable AI (xAI), AI assurance methods, and evaluation of AI systems across performance metrics, out-of-distribution generalization, and mission-specific assurance criteria.
- Data Science and Statistical Learning: Statistical and analytical methods for structured and unstructured data, including inference, integration, pattern discovery, and uncertainty quantification.
- Scientific Computing and Software Systems: High-performance software for ML and scientific workloads using Python ecosystems and modern frameworks, integrated with simulation and robotics platforms, ROS, MuJoCo, IsaacSim, Gazebo.
- RF Signal Processing and Sensing Systems: AI/ML applied to RF signal processing, communications, and remote sensing including spectrum awareness, adaptive communication systems, and edge deployment on hardware in noisy, dynamic, or contested environments.
- Robotics and Autonomy: Intelligent embodied systems spanning motion planning, model predictive control, control barrier functions, vision-language-action models, reinforcement learning, and sim-to-real transfer.
- Optimization and Algorithmic Methods: Large-scale, nonlinear, mixed integer and constrained optimization methods for decision-making and system design, Gurobi, CPLEX.
- AI for Quantum Systems & Computing: Machine learning for quantum systems, including state estimation, control, error mitigation, and hybrid quantum-classical algorithms.
- Research and Mission Translation: Translating research into deployable solutions through interdisciplinary collaboration and data-driven decision-making.
- Technical Leadership & Program Execution: Scoping, planning, and delivering complex technical projects, including scheduling, budgeting, and milestone execution.
- Business Development: Developing novel research directions, briefing stakeholders, and leading proposal development and contributing to proposals and business development, with demonstrated success securing funding.
- Community and Scientific Leadership: Active engagement and leadership across academic, industry, and national laboratory communities.
Qualifications
Minimum Qualifications:
- BS/BA in science or engineering and 5+ years of relevant work experience -OR-
- MS/MA in science or engineering and 3+ year