Data Science Manager

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.

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.

Responsibilitie

• sDrive scientific innovation and improvement
• sEnsure the team’s work quality is high and adheres to industry standard
• sReview architecture and design decision
• sDefine team and individual objectives and key result
• sCoach and mentor team member
• sDefine team processes and best practice
• sLead proposals for research and development activitie
• sProvide support with hands-on coding, help the team with critical tasks, and code review
• sFacilitate communication within the team and with other stakeholder
• sFoster a positive team cultur
• eHire, onboard and retain scientific talen
• tConduct performance reviews and provide feedbac

k
Requiremen

• ts10+ years of data science experience, with a solid understanding of data science principles and practic
• es2+ 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 goal
• s.Experience in Earth observation, geospatial, imaging science, or computer vision fiel
• dsKnowledge of supervised and unsupervised learning techniques and principles, including regression, classification, clustering, and recommendation system
• s.Proficiency in statistical analysis, hypothesis testing, and experimental design (e.g., A/B testin
• g)Experience working with cloud services and infrastructu
• reDemonstrable experience building effective working relationships with engineering tea
• msStrong team player with demonstrated ability to take ownership and drive executi
• onExcellent organizational and communication skil
• lsProficiency in English (written and spoke

n)
Additional Desired Qualificatio

• ns:Master’s or PhD degree in environmental sciences, mathematics, physics, or relevant engineering fi
• eldExperience with geospatial and earth observation tools, including satellite data processing, Rasterio/GDAL, and GIS to
• olsKnowledge of surface energy balance modeling, soil physics, hydrology, or related dom
• ainExperience with advanced modeling techniques like deep learning (e.g., neural networks, CNNs, RNNs) and ensemble meth
• odsUnderstanding of MLOps best practices for monitoring, versioning, and maintaining models in producti
• on.Experience with High Performance Computing (HPC) platfor
• ms.DevOps experience (Docker, Kubernet

es)
Bene

• fitsAttractive compensation pac
• kageEquity through stock option plan – be part of our long-term suc
• cessFast-paced, dynamic startup environment with real impact and owner
• shipHybrid work model – 1 remote day per
• weekWork-from-anywhere flexibility – up to 2 weeks per