OPEN POSITION
Responsibilities
Develop innovative technologies for R&D projects leveraging geospatial and satellite data using Python
Translate research concepts into prototype-ready systems using modern frameworks
Design, develop, and validate geospatial models and analytical algorithms (e.g. change detection, classification, forecasting), and validate spatial analytics techniques
Design and implement early data processing pipelines (ingestion → analytics → storage) when required
Conduct extensive research on scientific methodologies, ground-truth information, datasets, and emerging algorithms relevant to assigned projects
Take ownership of project deliverables under the guidance of the direct manager
Prepare and deliver high-quality presentations, technical reports, and actionable recommendations to management and stakeholders
Collaborate with cross-functional teams to evaluate technical feasibility, improve analytical workflows, and support innovation initiatives when required
Required Skills
2+ years of experience in agriculture focused analytics
In lieu of direct agriculture analytics experience: Ph.D. or equivalent level of work experience and demonstrated skills in adjacent domains (e.g. environmental monitoring, forestry, land use, or similar applied geospatial fields), with a degree in Computer Science, Data Science, AI, Physics, Mathematics, or a related field (negotiable)
Solid programming experience with Python (typically 1-5 years)
Experience in working with satellite data, geospatial data (e.g. Rasterio, PyStack, GeoPandas, Shapely)
Research experience, preferably with a focus on geospatial information or remote sensing, mathematical and information sciences
Experience with geospatial data formats and tools (GeoTIFF, COG, STAC, GDAL)
Experience with SQL and database management (PostgreSQL, PostGIS)
Experience in AI, Machine Learning, Computer Vision (e.g. scikit-learn, scikit-image, TensorFlow, PyTorch), or a related field is preferable
Strong analytical thinking, problem-solving skills, and the ability to work independently
Preferred skills and experience (Nice to have)
Exposure to cloud platforms (AWS/GCP/Azure)
Experience building interactive data applications or dashboards (e.g. Dash/Plotly, Streamlit) is a strong advantage
Engineering practices, or a habit of writing clean, maintainable code
Strong interest or experience in remote sensing and ground monitoring
Experience participating in data science competitions such as Kaggle and its results
Ideal Candidate
We are looking for candidates who are experienced in the following:
Geospatial & remote sensing: GDAL, Rasterio, STAC, COG
Cloud service platform: AWS, Azure, GCP
Development languages: Python
Data & ML: NumPy, GeoPandas, Pandas, and AI frameworks such as scikit-learn, PyTorch and TensorFlow
Systems: Docker, APIs
Database: PostgreSQL, PostGIS
Collaboration: Github, Slack, Notion
GIS (e.g., ArcGIS, QGIS)
AI tools: Claude Code, Codex, GitHub Copilot, etc.
Tools
Slack
Google Meets
Notion
AI tools: Claude Code, Codex, GitHub Copilot, etc.
Benefits
Hiring Process
Selection Process → Technical Assignment → 1st Interview → 2nd Interview → Final Interview
Work Conditions
Job Type
Fulltime
Work Type
Hybrid
Location
Remote (may require Tokyo office visits depending on projects)
Salary
~8,000,000 JPY annually (Will vary depending on your skillset, fit, experience and location)
Work Hours
Work Style 09:00 ～ 18:00 （Break： 12:00 ～ 13:00 ）JST/ 5 days per week (Monday - Friday)
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