Data Scientist

• Break down multi-domain business problems with a strong focus on return on investment and impact metrics, and think through the appropriate technical methods from POC to production
• Develop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

Senior AI Data Scientist

• Contribute to multiple geospatial AI and Earth observation initiatives.
• Focus on operationalisation of GeoAI services using AI and large-scale Earth observation processing.
• Support crop type mapping projects and scale algorithms for digital agriculture.
• Develop and improve ML/CV algorithms for large-scale remote sensing data processing on Sentinel data.
• Analyse data flows and optimise databases and queries.
• Collaborate with technical and non-technical stakeholders in an international setting.

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Senior AI Data Scientist

Senior Remote Sensing Data Scientist – GeoAI, Earth Observation