Hiring: Lead Data Scientist IV - GEOINT/Remote Sensing Company: Pacific Northwest National Laboratory Location: Seattle, WA Job Posted Time: 2026-09-16 14:29:23 Employment Type: Remote Target Skills & Keywords : Deep Learning, Fine-tuning, Machine Learning, PyTorch, R, Segment, TensorFlow, Transformers About the job Experience: •3+ year of relevant experience Required Skills: •Successful candidates will have the opportunity to grow professionally while working on diverse, mission-focused projects. At PNNL, we foster a collaborative and innovative work environment aimed at lifelong learning, creative problem-solving, and advancing interdisciplinary, data-driven innovation. •Designs and implements innovative GEOINT data science solutions, addressing complex technical challenges related to imagery analysis, object detection, data fusion, and geospatial workflows. •Serves as a principal investigator (PI) or co-PI on projects or tasks contributing to the integration of multiple capabilities or interdisciplinary approaches. •Leads efforts to develop and deploy ML pipelines to process and analyze large quantities of geospatial data in operational environments. •Mentors and guides junior staff, fostering technical excellence and professional development within the team. •Explores and generates new ideas for proposals and business opportunities by identifying emerging national security needs related to GEOINT analytics. •Builds and maintains external partnerships to increase the technical reputation of the team and align project outcomes with sponsor priorities. •Collaborates with multi-disciplinary teams, including software engineers, geospatial analysts, and operational mission specialists, to transition research outputs into usable, field-ready solutions. Qualifications: •PhD with 3+ year of relevant experience •Advanced degree in data science, computer science, physics, mathematics, or a similar discipline. •Expertise in GEOINT workflows, including experience with remote sensing platforms, multi-modal data fusion, and advanced geospatial analytics. •Developing and validating machine learning–based detection, classification, and unmixing algorithms •Full product pipeline experience •Strong spectral sensing fundamentals (radiative transfer, reflectance/emissivity, absorption features, SNR/noise modeling, sensor characterization) •Applying ML techniques to hyperspectral data fusion for geospatial intelligence applications •Proficiency with hyperspectral analysis and visualization tools (e.g., ENVI/IDL) •Developing and validating both traditional signal-processing and machine learning–based detection and classification algorithms •End-to-end SAR image product conversion pipeline experience Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!