Data Scientist: InSAR & Earth Observation Innovator

VINCI; Barcelona; On-site; EUR 45,000 - 65,000; Full time

Job summary

Sixense Satellite, a VINCI Construction subsidiary, seeks a Data Scientist to advance Atlas InSAR processing and build production-grade data pipelines. You will design and deploy ML models (CNNs) for phase unwrapping, atmospheric correction, and deformation detection, working with large SAR datasets.

You will collaborate with geophysicists, radar engineers, and software developers, translate research into robust tools, and document technical processes while communicating results in English

Qualifications

• Master's or PhD in Data Science, Computer Science, Geophysics, Remote Sensing, or Applied Mathematics.
• Hands-on ML experience with CNNs and frameworks (PyTorch, TensorFlow).
• Strong Python skills with NumPy/SciPy/xarray.
• Experience with geospatial data (SAR/InSAR is a plus).
• Ability to build production-grade data pipelines and work independently.

Responsibilities

• Contribute to design, development, and optimization of InSAR tools and chain.
• Implement new functionalities to expand processing capabilities.
• Design and deploy ML models for phase unwrapping, atmospheric correction, and anomaly detection.
• Work with large volumes of SAR and interferometric data in scalable pipelines.
• Collaborate with geophysicists, radar engineers, and software developers to productionize research.
• Validate model outputs against ground truth and document results.

Skills

CNNs

PyTorch

TensorFlow

Python

NumPy

SciPy

xarray

InSAR

Remote sensing

Machine learning

English communication

Education

Master's or PhD in Data Science, Computer Science, Geophysics, Remote Sensing, or Applied Mathematics

Tools

PyTorch

TensorFlow

NumPy

SciPy

xarray

Cloud platforms

Job description

Sixense Satellite, a VINCI Construction subsidiary, seeks a Data Scientist to advance Atlas InSAR processing and build production-grade data pipelines. You will design and deploy ML models (CNNs) for phase unwrapping, atmospheric correction, and deformation detection, working with large SAR datasets.

You will collaborate with geophysicists, radar engineers, and software developers, translate research into robust tools, and document technical processes while communicating results in English