Senior AI Data Scientist
constellrAbout the role
About constellr
We are operating at the interface of climate tech, agriculture, and space, combining engineering, Earth Observation, and agronomy to address one of the biggest challenges of our time: how to ensure global food security!
With offices in Brussels, Freiburg, Munich, and Toulouse, we are a diverse team, comprised of highly motivated and passionate professionals who share a common vision to revolutionize decision-making in tomorrow’s smart farming industry.
Our Mission
constellr is at the forefront of precise temperature monitoring from space. Our technology delivers the market's most accurate and dependable thermal data with our Land Surface Temperature model excelling in precisely measuring temperature for organizations that depend on highly accurate insights. Join us in advancing impactful initiatives, particularly in agriculture, where our expertise contributes to transformative projects in global food production.
The Role
As our Senior AI Data Scientist you will join our image processing and data science team to drive the developments of higher-level image data products.
What You’ll Be Doing
Designing and implementing the AI model to contribute to constellr’s LST product.
Preprocess and cleaning the image dataset for training/modelling preparation.
Perform training, fine running, data validation, testing.
Demonstrate an in-depth understanding of the nuances in image-based machine learning model performance, collaborating with remote sensing experts to improve data and model quality.
Collaborate with cross-functional team, understanding the product requirements and translate them into technical workflows and deliverables
Ensure data quality and create clear documentation
Provide technical expertise and guidance.
Location - Ideally you will be based in Germany, France or Belgium - this role is offered on a remote basis, with occasional travel for team projects. The Data Science team are currently based across Europe.
Requirements
About you
Technical Skills (Must-Have):
PhD or MSc with equivalent research experience in satellite remote sensing, geospatial analysis, machine learning, or statistics.
Professional experience in applying data science techniques to spatial and/or Earth observation datasets
Professional experience in data science/data engineering.
Knowledge of supervised, unsupervised, and/or reinforcement learning algorithms and their application in satellite image data proficiency in data science frameworks such as Tensorflow, PyTorch, and Scikit-image.
Experience with geospatial libraries like rasterio, xarray, rioxarray, and geopandas.
Experience with cloud computing platforms (e.g., AWS, Google Cloud) for large-scale data processing.
Strong analytical and problem-solving skills.
Technical Skills (Nice-to-Have):
Hands-on experience in contributing to EO product development.
Experience with data assimilation.
Experience with AI model deployment in cloud environments.
Non-Technical Skills:
Publications in EO/MLfield.
Experience with startup environments
Please submit an English copy of your resume
Why constellr?
Join a fast-growing, diverse and motivated team with a strong drive for positive change
Autonomy to set and deliver against your own goals, develop new skills and capabilities, and lead others to do the same.
Directly influence your contribution to achieving several of the UN's sustainable development goals, including Zero Hunger, Clean
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