Geospatial Data Scientist (Mining Focus)

Job Overview

This role sits at the intersection of geospatial research, data science, and engineering for candidates who seek continuous learning in a startup environment. Success in this role means delivering reliable geospatial analytics that move from research to production/prototyping, and are actively used by future customers.

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 (e.g. Dash Plotly)
• 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 (Must haves)

• Ph.D. in a given discipline OR equivalent level of work experience and skills with a degree in Computer Science, Data Science, AI, Physics, Mathematics (negotiable)
• Research experience, preferrably with a focus on geospatial information or remote sensing, mathematical and information sciences
• Solid programming experience with Python (typically 1-5 years)
• Experience in working with satellite data, geospatial data (e.g. Rasterio, PyStack, GeoPandas, Shapely)
• 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

Additional Skills (Nice to haves)

• 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
• Research experience at overseas research institutes or companies

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.

Salary

~8,000,000 JPY (May vary depending on your location)

Work Location

Remote (may require Tokyo office visits depending on projects)

Employment Type

Fulltime

Work Style

Flexible Hours 9:00 - 18:00 (including 1 hour break)

Monday - Friday

Probation Period

3 months

Benefits

• Diverse and inclusive culture
• Remote work (100%) possible, depending on your experience and location (APAC region)
• Visa support for Japan is possible, based on experience and performance, and after the trial period (3 months)