Data Science Manager (Luxembourg)

About the job

Our client

A space and data analytics company building a new Earth Observation constellation and software to unlock the power of thermal infrared imagery. 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.

You are

A bright, creative, and ambitious individual who can work in a dynamic and collaborative start-up environment. The is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world.

What you’ll do:

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.

Responsibilities

• Drive scientific innovation and improvements
• Ensure the team’s work quality is high and adheres to industry standards
• Review architecture and design decisions
• Define team and individual objectives and key results
• Coach and mentor team members
• Define team processes and best practices
• Lead proposals for research and development activities
• Provide support with hands-on coding, help the team with critical tasks, and code reviews
• Facilitate communication within the team and with other stakeholders
• Foster a positive team culture
• Hire, onboard and retain scientific talents
• Conduct performance reviews and provide feedbacks

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 fields
• 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
• Excellent organizational and communication skills
• 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 domain
• 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)

Why join EOLEN?

🏢 Long-term assignments with major CAC 40 companies
🤝 Personal support with close monitoring by our business engineers
🚀 Career advancement thanks to the diversity of IT sectors and projects
💡 Demanding technical environments to develop your skills
💰 Attractive compensation that recognizes your expertise

🔎 Use your vigilance and rigor to ensure the real-time availability of IT systems. Join a team committed to the continuous monitoring and reliability of critical IT environments.