Satellite Data Analysis Engineer
Position
Satellite Data Analysis Engineer
Employer
Solafune, Inc.
HACK THE PLANET
We are a global team of trail-blazers and innovators working to solve social, environmental, and industrial issues through geospatial technology.
Solafune is a start-up company that develops and provides satellite data analysis technology with the mission of “Hack The Planet. Our satellite data platform “Solafune” is used in approximately 120 countries and regions around the world, and we are actively providing our technology to countries in Asia, Africa, the Middle East, and other parts of the world.
Homepage: https://solafune.com
Location
Tokyo, Japan
Sector
Industry
Relevant divisions
Earth and Space Science Informatics (ESSI)
Geochemistry, Mineralogy, Petrology & Volcanology (GMPV)
Stratigraphy, Sedimentology and Palaeontology (SSP)
Geochemistry, Mineralogy, Petrology & Volcanology (GMPV)
Stratigraphy, Sedimentology and Palaeontology (SSP)
Type
Full time
Level
Experienced
Salary
8,000,000 JPY/ year or more (May vary depending on your location)
Preferred education
PhD
Application deadline
Open until the position is filled
Posted
12 May 2025
Job description
Responsibilities
- Develop and validate technologies for new development projects
- Develop and validate satellite data analysis techniques
- Develop new technology for R&D projects
- Conduct extensive research and development using satellite data, geospatial data, GIS tools, etc.
Required Skills
- Research experience in mathematical and information sciences
- Experience in working with satellite data, geospatial data
- Programming experience with Python, R, C, or C++
- Ph.D. in mathematical, information science, engineering OR equivalent level of work experience and skills (negotiable)
- Reading and writing skills in English (Our internal documents are in English)
Preferred skills and experience (Nice to have)
- Use English at the business level
- English at the level of verbal communication
- Research experience using satellite data, geospatial data, GIS tools, etc.
- Experience in working outside of the area of expertise
- Software engineer, designer, machine learning engineer, etc.
- Experience in committing to OSS
- Experience leading development or research projects
- Experience participating in data science competitions such as Kaggle and its results
- Research experience at overseas research institutes or companies
Tools
- Cloud service platform: AWS, Azure, GCP, Terraform
- Development languages: Python, Typescript
- Development framework: Python-based framework
- Container management: Docker, Docker-container
- Database: PostgreSQL
- Project management: Github, Jira
- Internal communication: Slack, Discord, Notion, Zoom
- GIS
How to apply