Geospatial Applied Scientist | Tokyo-based satellite data company

Geospatial Applied Scientist | Tokyo-based satellite data company (hybrid) A Tokyo-based space company that builds and operates its own constellation of radar (SAR) satellites is hiring a Geospatial Applied Scientist for its Solution Development team. About the company Founded in 2018, with a record-setting start: it reportedly reached USD 100 million in funding within 17 months, the fastest fundraising by a space startup globally Listed on the Tokyo Stock Exchange Growth market since December 2024, with roughly USD 200 million raised to date Nine of its own satellites have been launched, on the way to a planned constellation of 30 that can observe almost any location on Earth, day or night, in any weather Expanding fast: a new launch agreement for 20 more satellites (2028-2031) was announced this month, and a US subsidiary opened in 2025 Its satellite data and analytics are used for disaster response, infrastructure monitoring, urban development and environmental monitoring The role Develop and improve analytics models using imagery from the company's own satellites Research algorithms and choose the right approach for each problem (image processing, statistical learning, deep learning) Combine SAR imagery with other data such as optical satellite images, infrastructure data and weather Work closely with scientists and business teams to understand customer and partner needs, and help communicate results to stakeholders Why this role Work daily with data from a satellite constellation that is still being built, at a company in rapid growth mode Apply data science to real problems in sustainability, disaster prevention and management Join a global team of skilled engineers and scientists, with some freedom in how problems are approached and solved Support for learning new skills and certifications Requirements Bachelor's degree in Data Science, Statistics, Computer Science or a related field Production-ready Python, including NumPy, Pandas, scikit-learn and SciPy Familiarity with raster and vector data formats, and hands-on experience with GDAL and Python geospatial libraries (rasterio, GeoPandas, shapely) Experience building analytics with geospatial data Preferred Master's degree in a related field Experience with SAR data and earth observation applications Strong grounding in classical ML and deep learning, with PyTorch or similar Experience applying computer vision or ML to geospatial data Fluent Japanese to explain results to both experts and non-experts Interested candidates are welcome to send a message or CV for more details.