GEOINT Data Scientist II – Geospatial ML

Pacific Northwest National Laboratory; Seattle, Richland (WA, WA); On-site; USD 114,000 - 182,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Paid time off

Job summary

Pacific Northwest National Laboratory is seeking a Data Scientist to advance geospatial intelligence efforts. You will develop ML models, analyze geospatial datasets, and contribute to R&D programs within the AI and Data Analytics Division, working in interdisciplinary teams on mission-critical challenges.

You will collaborate with peers to bridge cutting-edge methods with field-ready solutions, supporting proposals and sponsor briefings while mentoring junior staff.

Qualifications

• BS/BA and 2 years of relevant experience -OR- MS/MA -OR- PhD.
• Degree in data science, computer science, physics, mathematics, or similar discipline.
• Experience with GEOINT workflows and deep learning models for remote sensing and GEOINT applications.

Responsibilities

• Develop, test, and deploy ML models and geospatial analytics workflows.
• Take ownership of defined tasks or small projects, proactively identifying technical challenges and proposing solutions to senior staff or project leads.
• Mentor to junior staff or interns within the team, fostering a collaborative and inclusive research environment.
• Support proposal development and business development by contributing to proposals and/or briefing sponsors.
• Builds effective working relationships within your immediate team and across interdisciplinary teams.

Skills

GEOINT workflows

ML model development

Geospatial analytics

Python

Team collaboration

Education

BS/BA, MS/MA, or PhD in data science or related field

Tools

TensorFlow

PyTorch

YOLO

Detectron2

DINOv2

SAM

GeoPandas

GDAL

Google Earth Engine

Job description

Pacific Northwest National Laboratory is seeking a Data Scientist to advance geospatial intelligence efforts. You will develop ML models, analyze geospatial datasets, and contribute to R&D programs within the AI and Data Analytics Division, working in interdisciplinary teams on mission-critical challenges.

You will collaborate with peers to bridge cutting-edge methods with field-ready solutions, supporting proposals and sponsor briefings while mentoring junior staff.