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Data Science Manager

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About the employer

HydrosatPosted on the employer’s careers page · careers.hydrosat.com

Description (EN)

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

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

As Data Science Manager, you will lead a team of scientists focused on modeling crop development, evapotranspiration, and plant-water interactions using thermal infrared and multispectral satellite data. You’ll drive innovation in surface energy balance modeling, vegetation stress indices, and data fusion methods. Your leadership will ensure that Hydrosat’s scientific outputs are robust, scalable, and aligned with business and mission objectives.

Responsibilities

  • Lead a team of scientists developing models for crop water stress, evapotranspiration, and other land-surface processes.

  • Drive scientific innovation in biophysical modeling, ensuring high-quality, reproducible outputs.

  • Design and validate algorithms for thermal data analysis and vegetation stress monitoring.

  • Collaborate with ML, engineering, and product teams to integrate scientific models into production systems.

  • Review and approve scientific methodologies, architecture, and design decisions.

  • Define team objectives and track progress toward key results.

  • Mentor and coach team members to develop technical and leadership skills.

  • Contribute to research proposals, publications, and conference presentations.

  • Support the hiring and onboarding of new scientific talent.

Requirements

  • Master’s in environmental science, agronomy, physics, or related field.

  • 2+ years in a technical leadership role, managing scientific or engineering teams.

  • Strong programming skills in Python or similar languages.

  • Experience collaborating with software and data engineering teams.

  • Excellent communication and organizational skills.

  • Proficiency in English (written and spoken).

    Nice to have

  • PhD in environmental science, agronomy, physics, or related field.

  • 10+ years of experience in Earth Observation, remote sensing, or environmental modeling.

  • 10+ years of experience developing, deploying, and scaling data science models in production environments.

  • Hands-on experience with geospatial and EO data processing (GDAL, Rasterio, etc.).

  • Solid understanding of land surface modeling, soil–plant–atmosphere interactions, and vegetation indices.

  • Experience with cloud-based environments.

  • Proven track record of peer-reviewed publications or applied research.

  • Familiarity with thermal infrared data.

Benefits

Luxembourg offers a high quality of life, a stable international environment, and strong long-term lifestyle benefits for professionals considering relocation. Ranked among the world’s happiest countries - #9 globally in the 2026 World Happiness Report - Luxembourg combines prosperity, health, freedom, and strong social support in one of Europe’s most attractive career destinations.

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