Now Hiring:Geospatial Data Scientist (Agriculture Focus) 仕事概要 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 ・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 必須スキル 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 ・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 歓迎スキル 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 求める人物像 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. 応募概要 給与 Salary ~8,000,000 JPY annually (Will vary depending on your skillset, fit, experience and location) 勤務地 Remote (may require Tokyo office visits depending on projects) 雇用形態 Fulltime 勤務体系 Work Style 09:00 ~ 18:00 (Break: 12:00 ~ 13:00 )JST Flexible Working Hours System -Workdays: 5 days per week (Monday - Friday) -Standard Working Hours: 9:00 AM – 6:00 PM (including a 60-minute break); Flexible style -Core Hours: 11:00 AM – 3:00 PM 試用期間 3 Months Probational Period 福利厚生 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) For permanent employees in Japan: ・Health Insurance ・Employees' Pension Insurance ・Employment Insurance
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