VIE - Data Scientist F/M
Reads like a ML Engineer role: putting models into production.
Barcelona, Catalonia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingSixense 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.
This is a hands-on role for someone who wants to work at the intersection of remote sensing, geophysics, and applied machine learning.
Design and deploy machine learning models, including CNNs, for phase unwrapping and anomaly detection
Contribute to the design and optimization of the InSAR tools and processing chain
Implement new functionalities to expand processing capabilities and product offerings
Build robust, scalable pipelines for large volumes of SAR and interferometric data
Validate model outputs against ground truth and iterate on real-world performance
From the employer’s posting
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.
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
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
Work with large volumes of SAR and interferometric data, building robust and scalable pipelines
Validate model outputs against ground truth and domain expertise; iterate based on real-world performance
Education & alternatives
What We're Looking For : • 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)
Tools in this posting
- Python
- NumPy
- PyTorch
- SciPy
- TensorFlow
Source — Tool mentions in context
• 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)
• 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.)
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 9 days ago
- Recorded sightings
- 8
- Last seen by us
- Oct 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Sixense Satellite, a subsidiary of VINCI Construction, is a leading player in satellite-based ground monitoring. We develop advanced technologies combining remote sensing, InSAR, and data science to deliver high-impact decision-support solutions for infrastructure management, natural hazard monitoring, and land-use planning.
As part of the VINCI Construction group, we help our clients better understand and anticipate ground deformation phenomena through Earth observation data and cutting-edge technologies.
About the Role :
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
What We're Looking For :
• 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
How to Apply ?
Interested candidates are invited to send their CV and a short cover letter to satellite@sixense-group.com with the subject line 'Data Scientist – InSAR Processing Chain'.
Why Join Us ?
• Work on cutting-edge Earth observation technology with real-world impact — infrastructure monitoring, natural hazard detection, mining, and more
• Direct influence on the evolution of our core processing chain
• Collaborative, multidisciplinary team environment
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Barcelona, Catalonia
Sixense Satellite, a subsidiary of VINCI Construction, is a leading player in satellite-based ground monitoring. We develop advanced technologies combining remote sensing, InSAR, and data science to deliver high-impact decision-support solutions for infrastructure management, natural hazard monitoring, and land-use planning. As part of the VINCI Construction group, we help our clients better understand and anticipate ground deformation phenomena through Earth observation data and cutting-edge technologies.
More source context
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 :
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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