Hiring: Data Scientist II - GEOINT/Remote Sensing Company: Pacific Northwest National Laboratory Location: Richland, WA Job Posted Time: 2026-09-10 10:29:23 Employment Type: Remote Target Skills & Keywords : Deep Learning, Fine-tuning, Machine Learning, PyTorch, R, Segment, TensorFlow, Transformers About the job 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. •Contributes to 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. •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 level. •This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. Qualifications: •Degree in data science, computer science, physics, mathematics, or similar discipline. •Demonstrated experience in GEOINT workflows, including experience with remote sensing platforms, multi-modal data fusion, and advanced geospatial analytics. •Applied hands-on capability in geospatial analysis tools (e.g., GDAL, GeoPandas, Google Earth Engine) and machine learning frameworks (e.g., TensorFlow, PyTorch). •Demonstrated strong communication and collaboration skills, with the ability to present technical findings to diverse audiences and work effectively within multi-disciplinary teams. •This position requires the ability to obtain and maintain a federal security clearance. •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. 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!