Kuva Space is on a mission to solve the world's most pressing issues, such as climate change, food security, safety and security, by building the world's most extensive hyperspectral microsatellite constellation and developing AI-driven analytics services. We deliver reliable and timely global insights and foresight that transform rich spaceborne data into actionable insights customers can use for efficient resource management, optimizing operations, and improving profitability sustainably. We are seeking a Data Scientist to design, build, and deploy machine learning solutions that extract actionable insights from hyperspectral satellite imagery. You will apply computer vision and remote sensing techniques to develop models that power core geospatial products and analytics. The ideal candidate brings strong Python engineering skills, hands-on Machine Learning/Deep Learning (ML/DL) experience, and fluency with geospatial data and tools.

Data Scientist Position: Full time

Location: Hybrid / Remote

Key Responsibilities

Qualifications

• Master’s degree in Computer Science, Data Science, Remote Sensing/Geoinformatics, Electrical/Computer Engineering, Physics, or related field; or equivalent experience
• Strong proficiency in Python and the scientific stack (NumPy, Pandas, SciPy, PyTorch), with experience building maintainable, tested codebases (type annotations, packaging, linting)
• Hands-on experience developing and deploying ML/DL models using scikit-learn and one or more deep learning frameworks (PyTorch or TensorFlow); experience with OpenCV

Preferred Qualifications

• Experience with hyperspectral imaging (sensor characteristics, spectral indices, unmixing, MNF/PCA, spectral libraries, anomaly detection)
• Experience with satellite or aerial data pipelines and photogrammetric/RS preprocessing (radiometric/atmospheric correction, orthorectification)
• Knowledge of geospatial data formats and standards: GeoTIFF/COG, STAC, Zarr, OGC APIs
• Experience with distributed data processing (Dask, Spark) and GPU acceleration; exposure to Kubernetes, serverless, or batch inference workflows
• MLOps tooling such as MLflow, Weights & Biases, or SageMaker; experience deploying models to APIs or streaming/tiling services
• Background in physics-based modeling, BRDF, or optical/spectral remote sensing

What do we offer? At Kuva Space, we offer a stimulating and safe work environment that encourages growth, collaboration, and excellence. Constantly learning new things is the norm here! Our focus on space technology means you'll have the opportunity to learn more about satellites, space, data, and the Earth. If you get excited about space-themed lunch table discussions, Kuva Space is the community for you 🪐✨

As an employer, we prioritize the well-being of our employees, both physically and mentally. Our health care benefits are comprehensive, including dental benefits and short-term psychotherapy. We offer an annual sports, culture and transport benefit. And our team members regularly meet up for after-work activities 🧘🏽

If you do not live in Finland but wish to, we can offer assistance in the migration process and support with learning the Finnish language and culture 🇫🇮

In addition, you will be part of a dynamic, fun, and highly skilled team! Our diverse team of international colleagues, with varying cultures, shares a passion for deep tech and making our Earth more sustainable. And we believe Finnish 'sisu' is a must-have mindset to overcome any challenges that come our way 🇫🇮

If you’re excited to apply advanced ML and computer vision to geospatial challenges and build production-grade solutions, we’d love to hear from you ! 🧑‍🚀 The application period will be closed on 9.2.2026, after which we will begin reviewing applications and inform on our decision as soon as possible.