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Geospatial Data Scientist | Early Stage AgTech Startup at Soyle

Hanover, Lower Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

0.0

Posted On

27 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Geospatial Data Science, Remote Sensing, GIS, Satellite Imagery, Python, GeoPandas, Rasterio, GDAL, Scikit-learn, TensorFlow, PyTorch, Google Earth Engine, AI/ML Models, Data Processing, Data Visualization, Collaboration

Industry

Description

Soyle is an early-stage AgTech startup based in Hannover, building AI-powered, lab-free precision farming tools. We are looking for a Geospatial Data Scientist to join our founding team and help shape the backbone of our AI-driven agricultural platform. Tasks 🛠️ What We’re Looking For: Integrate geospatial data with AI/ML models for farm monitoring. Build scalable pipelines for geospatial data processing and visualization. Collaborate closely with AI/ML, product, and agricultural science teams to bring insights into the Soyle app. Requirements 🌍 Who You Are: Strong background in remote sensing, GIS, or geospatial data science. Experience working with satellite imagery (multispectral/hyperspectral). Proficiency in Python (GeoPandas, Rasterio, GDAL, scikit-learn, TensorFlow/PyTorch). Familiarity with Google Earth Engine or similar platforms. Ability to translate complex data into practical, farmer-friendly solutions. Startup mindset – proactive, adaptive, and excited to build from the ground up. Benefits 💡 What’s on Offer: Equity & ownership as an early team member. Funding support for 10 months via NBank Gründungsstipendium (if based in Niedersachsen) Opportunity to design and scale Soyle’s geospatial AI stack from scratch. Access to the accelerator network and mentorship. 📩 Interested? Just send a short note - happy to talk informally first.

Responsibilities

Integrate geospatial data with AI/ML models for farm monitoring and build scalable pipelines for geospatial data processing and visualization. Collaborate closely with various teams to bring insights into the Soyle app.