Senior Data Scientist
Role details
Job location
Tech stack
Requirements
Development and Data Analysis * Develop and refine machine learning and deep learning models (CNNs, U-net, Transformers) to tackle environmental challenges such as deforestation detection, burned area identification, and ecosystem change monitoring. * Explore and implement new algorithms, features, and frameworks to improve model performance, scalability, and robustness. R&D and Innovation * Stay up-to-date with the latest AI and environmental modeling advancements and implement novel algorithms to improve predictive performance. * Conduct internal research projects to test new methodologies, frameworks, and data sources. Collaboration and Knowledge Sharing * Participate in calls with the External Relations team to provide technical support and address questions or challenges from project developers or stakeholders. * Produce clear documentation and share knowledge to support team learning and continuous improvement. What we value for this role Technical experience * 5+ years of experience in Machine Learning/Deep Learning, preferably with geospatial or environmental datasets and strong proficiency in Python and AI frameworks such as PyTorch or TensorFlow. * Experience with model validation before deployment (data sufficiency, reproducibility, robustness, and data/model drift). * Hands-on experience with satellite image processing using QGIS, Rasterio, or GDAL. * Fluency in English is essential; additional languages are a plus. Soft skills and mindset * Critical thinker with excellent problem-solving skills. * Self-starter, able to work autonomously from research to deployment. * Strong communicator, capable of explaining complex technical concepts to non-experts. * Conscientious, detail-oriented, and committed to high standards. Please include the square root of 81 at the bottom right of your CV. * Curious, continuously learning new technologies and methodologies. * Passion for environmental issues and interest in Carbon Markets. What
Benefits & conditions
we offer Starting date: January 2026 Type of contract: Permanent, full-time Location: This position is remote only. A significant overlap with French business hours is required. Compensation: The final compensation offered will be contingent upon role, level and location. Here's what you can look forward to when joining our team: * A fully remote setup - Work from anywhere that inspires you and fits your lifestyle. * A collaborative, multicultural workspace - Join a diverse team that shares a passion for nature, meaningful work, and supporting one another. * Flexible hours and autonomy - We trust you to manage your time and deliver high-quality results, empowering you to make an impact. * Curiosity and growth-driven culture - Embrace opportunities for learning, innovation, and problem-solving through first-principle thinking. * The tools to succeed - From a company laptop and a comprehensive health insurance plan to a remote work pass, we've