P

Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Lead Data Scientist 4 - Machine Learning for GEOINT and Remote Sensing

Computer VisionPosted on Nov 6
Full-time$166.8k - $275.2k /yr

About the Job

Requirements

  • A BS or BA and at least 7 years of data science experience, or an MS or MA and at least 5 years of data science experience, or a PhD and at least 3 years of data science experience.
  • Deep learning expertise, including developing, adapting, and evaluating algorithms or analytical methods for detection and classification in electro-optical imagery or target detection and material classification in hyperspectral imagery.
  • Experience developing reproducible research code in Python with PyTorch or TensorFlow.
  • U.S. citizenship.
  • Ability to obtain and maintain a federal security clearance and meet federal background-investigation eligibility requirements.
  • Ability to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the required Questionnaire for National Security Positions; selected applicants are subject to pre-employment and random drug testing.
  • Ability to meet the applicable federal background investigation and obtain a favorable federal adjudication for the required HSPD-12 Personal Identity Verification credential, or, for foreign national candidates who have not resided in the U.S. for three consecutive years, obtain a favorable Local Site Specific Only federal risk determination to maintain employment.
  • Disclosure of any affiliation with a government of a country identified by the Department of Energy as a country of risk, and recusal from that affiliation or prior approval from the Department of Energy and Battelle.

Responsibilities

  • Define research questions and develop or adapt methods to address them; investigate model behavior and solve difficult technical problems alongside the project team.
  • Guide interdisciplinary project teams through complex research, adapting methods and plans as findings emerge or mission needs change.
  • Work with mission partners to establish evaluation criteria and assess detection performance, false alarms, robustness, and computational demands under realistic conditions.
  • Work with software and machine-learning engineers to prepare methods for operational use, addressing research limitations that affect performance or reliability.
  • Share methods and findings with collaborators and mission partners to inform decisions about which research directions to pursue.
  • Shape new research ideas and collaborate on proposals that create opportunities for the team to pursue them.
  • Mentor researchers through technical discussions, feedback, and opportunities to take on more challenging work; help recruit colleagues and connect people with complementary expertise across teams and partner organizations.
  • Guide project teams in following applicable quality, safety, and security requirements.

Desired Qualifications

  • Experience defining research directions for complex problems and leading interdisciplinary project teams.
  • Experience with the electro-optical or hyperspectral imaging chain, including sensor response, image formation, calibration, and data processing; long-wave infrared hyperspectral experience is particularly valued.
  • Experience addressing limited labeled training data or new target categories through methods such as few-shot learning, transfer learning, or open-vocabulary models.
  • Experience with multimodal or temporal fusion for geospatial analysis, or agentic workflows coordinating models, geospatial tools, and data sources, including evaluating workflow reliability and analytic results.
  • Experience translating research into methods or tools used in applied settings, including collaboration with software or machine-learning engineering teams, or developing and evaluating models for edge or onboard platforms with size, weight, and power constraints while balancing accuracy, latency, memory, and energy use.
  • Experience supporting national security missions, developing research proposals, or securing funding or other support for research.

About the Company

Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Pacific Northwest National Laboratory (PNNL) conducts scientific research in chemistry, Earth sciences, biology, and data science to advance energy resiliency and national security. Its work spans designing and running experiments, developing models and simulations, and analyzing large data sets to generate knowledge and practical tools that help improve energy systems, environmental stewardship, and security. PNNL differentiates itself through its interdisciplinary approach across multiple scientific domains and its role as a government-funded national lab focused on real-world challenges, enabling collaborations with industry, academia, and government partners. Its goal is to produce actionable scientific insights and deployable technologies that strengthen national resilience and energy infrastructure.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Richland, WA
Founded
1965

Recently Posted Jobs

Explore more opportunities at Pacific Northwest National Laboratory

See more jobs