Data Scientist II — GEOINT & Remote Sensing ML

Pacific Northwest National Laboratory

Richland (WA)

Presencial

USD 114.000 - 182.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical insurance
Pension plan
Relocation assistance

Descripción de la vacante

Pacific Northwest National Laboratory (PNNL) is seeking a Data Scientist to advance geospatial intelligence research and machine-learning powered data analytics. The role focuses on building scalable ML models and geospatial workflows within the AI and Data Analytics Division, addressing mission-critical national security challenges.

You will work with interdisciplinary teams to analyze geospatial data, apply DL models (e.g., ATR, object detection, segmentation), and translate research into

Formación

  • BS/BA with 2 years relevant experience or advanced degrees.
  • Experience with GEOINT workflows and remote sensing.
  • Proficiency in ML frameworks and geospatial tools.

Responsabilidades

  • Develop, test, and deploy ML models and geospatial analytics workflows.
  • Tackle defined tasks or small projects and propose solutions.
  • Mentor junior staff or interns within the team.
  • Support proposal development and sponsor briefings.
  • Collaborate across interdisciplinary teams to deliver data-driven solutions.

Conocimientos

GEOINT workflows
ML model development
Geospatial analysis
Python
Mentoring

Educación

BS/BA
MS/MA
PhD

Herramientas

TensorFlow
PyTorch
GDAL
GeoPandas
Earth Engine

Descripción del empleo

Pacific Northwest National Laboratory (PNNL) is seeking a Data Scientist to advance geospatial intelligence research and machine-learning powered data analytics. The role focuses on building scalable ML models and geospatial workflows within the AI and Data Analytics Division, addressing mission-critical national security challenges.

You will work with interdisciplinary teams to analyze geospatial data, apply DL models (e.g., ATR, object detection, segmentation), and translate research into

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