EO Data Scientist
Telespazio Belgium
- Mamer, Capellen
- Unbefristet
- Vollzeit
- 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.
- 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.
- 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.