Hiring: Senior Data Scientist III - GEOINT/Remote Sensing Company: Pacific Northwest National Laboratory Location: Richland, WA Job Posted Time: 2026-09-16 14:29:18 Employment Type: Remote Target Skills & Keywords : Deep Learning, Fine-tuning, Machine Learning, PyTorch, R, Segment, TensorFlow, Transformers About the job Experience: •1+ 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. •Drives the execution of research by developing, testing, and deploying ML models and geospatial analytics workflows. •Takes ownership of defined tasks or small projects, proactively identifying technical challenges and proposing solutions to senior staff or project leads. •Engages with stakeholders to understand project requirements and translate them into actionable technical approaches aligned with sponsor goals. •Serves as a mentor to junior staff or interns within the team, fostering a collaborative and inclusive research environment. •Supports proposal development and business development by contributing to proposals and/or briefing sponsors. •Builds effective working relationships within your immediate team, as well as across interdisciplinary teams at the group or division level. •This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. Qualifications: •PhD with 1+ year of relevant experience •Degree in data science, computer science, physics, mathematics, or 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) •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 •Proficiency with SAR rendering tools 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!