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# Data Scientist

- **Company:** VINCI
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Big Data, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Scientific Computating, SciPy, Cloud Platform System, Pytorch, Deep Learning, Convolutional Neural Networks, Information Technology, Data Analytics, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://vinci-groupe.profils.org/Pages/Offre/detailoffre.aspx?idOffre=118585&idOrigine=55&LCID=1033&offerReference=RESPONSABLE+D%27AFFAIRES-118585

## About the Role

* Degree (MSc/PhD) in Data Science, Computer Science, Geophysics, Remote Sensing, Applied Mathematics, or a related field

 * Experience in machine learning, with hands-on expertise in convolutional neural networks (CNNs) and deep learning frameworks (PyTorch, TensorFlow)

 * Strong Python programming skills; experience with scientific computing libraries (NumPy, SciPy, xarray, etc.)

 * Experience working with geospatial or remote sensing data (SAR/InSAR experience is a strong plus, but not mandatory)

 * Familiarity with signal/image processing techniques

 * Comfortable working with large datasets and building production-grade data pipelines

 * Strong analytical mindset and ability to work independently on open-ended problems

 * Excellent written and oral reporting skills in English are mandatory.

 * Good communication skills and ability to work in a multidisciplinary team

Nice to Have :

 * French or Spanish would be a valued skill.

 * Prior experience with InSAR, SAR imagery, or satellite remote sensing

 * Experience with cloud computing platforms and distributed processing

 * Familiarity with geodesy or ground deformation monitoring

## Description

Sixense Satellite is looking for a Data Scientist to join our team and contribute to the development of our Atlas InSAR (Interferometric Synthetic Aperture Radar) processing chain. You'll work on both maintaining and extending core processing capabilities, and on building new features that push our satellite-based ground deformation monitoring products forward.

This is a hands-on role for someone who wants to work at the intersection of remote sensing, geophysics, and applied machine learning.

What You'll Do :

 * Contribute to the design, development, and optimization of our InSAR tools and chain

 * Implement new functionalities and features to expand processing capabilities and product offerings

 * Design and deploy machine learning models, including convolutional neural networks (CNNs), for tasks such as phase unwrapping, atmospheric correction, anomaly/deformation detection, and signal classification

 * Work with large volumes of SAR and interferometric data, building robust and scalable pipelines

 * Collaborate closely with geophysicists, radar engineers, and software developers to translate research into production-ready tools

 * Validate model outputs against ground truth and domain expertise; iterate based on real-world performance

 * Contribute to technical documentation and internal knowledge sharing


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