Job Title: Data Science Manager
Location: Luxembourg, Luxembourg
Job Type: Permanent
Salary: €130,000 – €160,000 + Stock options + Relocation Package
Working setup: 4 days per week in the office, 1 day remote
Language: English
Industry Sector: New Space, Earth Observation, Satellite Imagery, Remote Sensing
Introduction:
Talent-Relay has partnered with Global Earth Observation client to onboard an experienced Data Science Manager their expanding science and research team, in Luxembourg.
Our partner leverages satellite imagery, thermal infrared and multi-spectral data, to deliver valuable insights into agriculture, climate, and commercial clients.
The team is responsible for developing advanced algorithms to transform satellite data into actionable information.
Personality Profile – Data Science Manager:
- Mission-Driven Team Player. You are fully invested in the company vision and thrive in a collaborative environment.
- Task-Oriented Leader – While you lead a team, you aren’t afraid to roll up your sleeves and contribute directly.
- Scientifically & Technically Driven – You are motivated by solving complex problems in science and engineering, keeping long-term objectives in mind.
- Innovative Thinker – With a strong research and engineering background, you bring fresh ideas and innovative solutions to the team.
- Pragmatic & Grounded – You balance ambitious goals with practical execution, ensuring real-world impact.
- Passionate About Data & Modeling – You have a deep interest in statistics, mathematics, image processing, and machine learning models.
- Proactive & Collaborative – You take initiative, communicate effectively, and work well across teams to drive success.
Key Responsibilities:
The successful Data Science Manager will lead and mentor a team of data scientists. In this role, you’ll drive scientific innovation, ensure high-quality model development, and collaborate cross-functionally to translate business goals into scalable solutions.
- Lead and mentor a high-performing data science team
- Drive innovation in geospatial and imaging science solutions
- Define team objectives, best practices, and workflows
- Conduct technical reviews, provide hands-on coding support, and guide architecture decisions
- Collaborate with engineering, product, and program management teams
- Hire, onboard, and retain top scientific talent
Required Qualifications, Skills and Experience:
- 10+ years in Data Science
- Ideally have experience in one or more – Earth Observation, Remote Sensing, Geospatial, Computer Vision.
- At least 2 years in a leadership role, managing, developing & growing teams, goal setting, performance management.
- A background of supervised/unsupervised learning, statistical analysis, and cloud infrastructure
- Strong communication, leadership, and organizational skills
- Proficiency in English (written and spoken)
Desirable Skills & Experience:
- Advanced degree (Master’s or PhD) in environmental sciences, mathematics, physics, or a related engineering discipline
- Proficiency in geospatial and Earth observation technologies, including satellite data processing, Rasterio/GDAL, and GIS
- Strong background in surface energy balance modeling, soil physics, or hydrology
- Expertise in deep learning techniques such as CNNs and RNNs, as well as ensemble modeling methods
- Familiarity with MLOps best practices for deploying and monitoring machine learning models
- Experience working with High-Performance Computing (HPC) systems
- Hands-on experience with DevOps tools such as Docker and Kubernetes