Senior Earth Observation Data Scientist (m/f/d)
Location: Bremen, Germany Hours: Full-time Start: Q4 2026 / Q1 2027
About CinSOIL
CinSOIL is a deeptech startup developing data-driven tools for soil carbon monitoring and carbon farming. We combine satellite Earth Observation, process-based modelling, and AI to deliver credible, scalable solutions for carbon certification and regenerative agriculture. Our stack is Python-first, cloud-native, and built on in-house data and algorithms infrastructure.
By joining CinSOIL, you will join a collaborative, curious, and mission-driven team that combines scientific expertise, engineering, and entrepreneurial thinking. We believe that solving complex challenges in soil and climate requires not only strong technical skills, but also open communication, diverse perspectives, and a willingness to learn from each other. We are united by the ambition to build technology that creates real impact for climate and regenerative agriculture. We value ownership, trust, and a pragmatic, hands-on spirit – and we enjoy working together, sharing ideas, and tackling difficult problems as a team.
We are based in Berlin and Bremen. In Bremen we are part of ESA BIC Northern Germany, and this position is based in Bremen.
The Role
You will lead our EO-based analytics pipelines, from algorithm design to production deployment, across multispectral/hyperspectral imagery, SAR data, and climate time series. You will own the technical direction of this workstream, working closely with our CTO and mentoring junior EO team members. This is a senior, high-ownership role at a small, technical startup where your decisions contribute to shaping the product.
This position is contingent on the finalisation of an upcoming ESA contract, whose deliverables involve close collaboration with the contract’s stakeholders.
What You’ll Work On
● Designing and leading development of multimodal remote sensing data and modeling pipelines for agricultural analyses
● Statistical and trend-detection methods applied to climate and remote sensing time series
● Algorithm validation against ground reference data, and defining validation protocols
● Setting technical standards and architecture decisions for the EO analytics stack
● Mentoring and reviewing the work of junior EO team members
● Contributing scientific/technical input to grant reporting and certification-related documentation
What We’re Looking For
Ideal:
● MSc or PhD in remote sensing, geoinformatics, environmental science, or a related field, with demonstrated applied experience
● Strong Python skills and deep experience with geospatial libraries (rasterio, geopandas, xarray, shapely)
● Hands-on experience processing satellite data
● Solid grounding in statistics and time series methods
● Track record of taking remote sensing algorithms from research to production
● Comfortable working in Linux/bash, with Git and collaborative code review
Nice to have:
● Experience with openEO, CDSE, or similar cloud EO processing frameworks
● Familiarity with STAC catalogues and cloud-optimised formats (COG, Zarr)
● Experience with agricultural or land surface monitoring applications
● Prior experience mentoring or leading a small technical team
What We Offer
● A leadership role shaping the core analytics engine of a growing deeptech startup
● Direct collaboration with the technical founder and close visibility into company strategy
● Flat hierarchy, real ownership, and fast decision-making
● Competitive salary with growth potential as the company scales
● Opportunities to participate in AgriFood- and space-related events (e.g. Space Tech Expo Europe, EU Carbon Farming Summit, Agritechnica, etc.), nationally and internationally
● Based in Bremen, with close collaboration with the ESA BIC Northern Germany community
● Salary range: €70–90k gross/year depending on seniority
Sounds Like You?
Send a short introduction and your CV to [jobs@cinsoil.eu]. Please write the cover letter yourself, and tell us briefly what you’ve worked on and what interests you about this role.
A typical selection process includes an initial screening followed by two interviews to assess candidates’ qualifications, experience, and suitability for the role.
Gehalt: 70.000,00€ - 90.000,00€ pro Jahr
Arbeitsort: Zum Teil im Homeoffice in Bremen (Bremen, Kreisfreie Stadt Bremen, Bremen)