Senior AI Data Scientist

Summary

Join constellr, a climate tech company at the forefront of precise temperature monitoring from space, as our Senior AI Data Scientist. You will be part of the image processing and data science team, driving the development of higher-level image data products. This role involves designing and implementing AI models, preprocessing image datasets, performing model training and validation, and collaborating with remote sensing experts. The position requires expertise in machine learning, geospatial analysis, and cloud computing. Ideally, you will be based in Germany, France, or Belgium, but remote work is possible with occasional travel. Constellr offers a variety of benefits, including a virtual shares package, a company pension scheme, flexible working arrangements, and a commitment to work-life balance.

Requirements

• 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

Responsibilities

• Design and implement the AI model to contribute to constellr’s LST product
• Preprocess and clean 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

Preferred Qualifications

• Hands-on experience in contributing to EO product development
• Experience with data assimilation
• Experience with AI model deployment in cloud environments
• Publications in EO/ML field
• Experience with startup environments

Benefits

• An attractive virtual shares package (Virtual Share Option Program)
• A company pension scheme (bAV) in cooperation with WWK Lebensversicherung (20% subsidy) for German employees
• Flexible working: we support remote or semi-remote working for many of our roles
• Work-life balance: we value everyone’s time and respect family or personal commitments. We support you to be as productive as you can in the time you have