Darwin Recruitment are hiring for a Data Science Manager for a business in Luxembourg that are a climate-tech / geospatial-data company that builds and operates satellites to gather thermal infrared and multispectral imagery of Earth. They launched its first satellite, in 2024 on a SpaceX Transporter mission, this was the first commercial satellite to deliver high-resolution thermal imagery with global coverage. They followed up with a second satellite, launched in 2025 (on Transporter-14). It carries advanced multispectral + thermal IR sensors and greatly increases the volume & speed of data collection. Farmers and agribusinesses use this company to optimize irrigation, reduce water waste, and increase crop yields. For many users, thermal imagery gives early warnings of water stress before visible signs appear. Their mission is to capture and deliver high spatio-temporal resolution thermal infrared data, currently not available from other sources, to provide insights that benefit the environment, enhance food and water security, and serve other critical applications. Their downstream applications team in Luxembourg combines best-in-class remote sensing, machine learning, and cutting-edge fusion approaches to thermal imagery to deliver innovative and scalable solutions to the agri-food industry.
As a Data Science Manager, you will lead and mentor a team of data scientists developing and delivering high-quality scientific models and solutions. You will work closely with cross-functional teams, including product and program management, and translate business goals into reliable, scalable systems. Your role will involve hands-on technical guidance, development, code reviews, and supporting the growth of your team.
Requirements
- 10+ years of data science experience, with a solid understanding of data science principles and practices
- 2+ years in a leadership role, with proven experience in building and coaching high-performing data science teams, including defining team objectives and aligning them with organizational goals
- Experience in Earth observation, geospatial, imaging science, or computer vision fiel
- Knowledge of supervised and unsupervised learning techniques and principles, including regression, classification, clustering, and recommendation systems
- Proficiency in statistical analysis, hypothesis testing, and experimental design (e.g., A/B testing)
- Experience working with cloud services and infrastructure
- Demonstrable experience building effective working relationships with engineering teams
- Strong team player with demonstrated ability to take ownership and drive execution
- Proficiency in English (written and spoken)
Additional Desired Qualifications
- Master’s or PhD degree in environmental sciences, mathematics, physics, or relevant engineering field
- Experience with geospatial and earth observation tools, including satellite data processing, Rasterio/GDAL, and GIS tools
- Knowledge of surface energy balance modeling, soil physics, hydrology, or related dom
- Experience with advanced modeling techniques like deep learning (e.g., neural networks, CNNs, RNNs) and ensemble methods
- Understanding of MLOps best practices for monitoring, versioning, and maintaining models in production
- Experience with High Performance Computing (HPC) platforms
- DevOps experience (Docker, Kubernetes)
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
James Godfrey