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Telespazio Belgium

EO Data Scientist

Telespazio Belgium
Luxembourg · Full-time · Entry

We are looking for an EO Data Scientist to play a crucial role in contributing to EO-related projects with technical and operational constraints, in close collaboration with stakeholders from various sectors,  who will work for Earthlab Luxembourg (https://www.earthlab.lu/).

The candidate will also play a key role in the development of Max-ICS, by designing and implementing generic AI models, reusable data processing pipelines, and proposing new analytical features to support advanced geospatial intelligence. 

Earthlab is an innovative company specializing in earth observation and artificial intelligence. Earthlab proprietary Max-ICS allows for seamless data processing and continuous AI model training.  

What is expected from you:

  • Analyzing and processing multi-source EO data (e.g., satellite imagery, LiDAR, drone datasets) to extract insights.
  • Developing and validating machine learning models for classification, detection, segmentation, or prediction using EO data.
  • Designing and implementing scalable and reproductible EO data processing pipelines (from ingestion to inference).
  • Collaborating with engineers to optimize EO data storage and retrieval and ensure AI models reproducibility and traceability.
  • Engaging with stakeholders to understand requirements and deliver actionable and datadriven products
  • Producing technical reports, models, documentation, or contributing to scientific publications.
  • Staying up to date with the latest research and technologies in EO, remote sensing, and AI.
  • Communicating effectively with colleagues across different teams. Providing training and support to colleagues or partners on the use of earth observation data and analytical tools.

What you offer:

  • Master's degree or PhD in Remote Sensing, Geoinformatics, Computer Science, Data Science, or a related field.
  • 3+ years of experience applying AI/ML to EO or geospatial data.
  • Experience with image processing techniques and libraries (e.g., OpenCV, scikit-image) for feature extraction, enhancement, and computer vision tasks.
  • Experience with time series analysis and spatio-temporal modeling is a strong asset.
  • Solid understanding of remote sensing principles and data formats (Sentinel, Landsat, SAR, etc.).
  • Strong proficiency in ML, Deep learning and Python libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, geopadas).
  • Hands-on experience with MLOPS tools and workflows (e.g., MLflow, DVC, model versioning) is highly desirable.
  • Familiarity with cloud-based or distributed computing environments (S3, Kubernetes, Docker, GitLab CI/CD) is an asset.
  • Fluent in English, and French is an asset.

What we offer

  • Join a dynamic and innovative team within a fast-growing company.
  • Contribute to the development and implementation of innovative AI platform: http://www-max-ics.earthlab.lu/
  • Work in a stimulating and collaborative work environment.
  • Enjoy a competitive salary and benefits package. 

The candidate must be eligible for EU security clearance.

Where

You will be working in Luxemburg https://www.earthlab.lu/.

When

Expected starting date: ASAP

Please note that interviews will be held either via skype, webex, other digital platforms or onsite in person.

We look forward to receiving your application for this position!

Key Skills

Ranked by relevance

ai artificial intelligence distributed computing machine learning computer vision deep learning storage pytorch python gitlab pandas mlflow skype cloud numpy mlops cicd s3
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Posted
Aug 13, 2025
Type
Full-time
Level
Entry
Location
Mamer

Industries

Aviation & Aerospace

Categories

Engineering Information Technology

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