Role overview
Job Summary
TBZ Cognitive Systems is seeking a world-class Senior Principal Data Scientist to lead our "Desert Intelligence" division in Al Ain. In this role, you will build the foundational models that allow humanity to thrive in hyper-arid environments. You will fuse satellite imagery, IoT sensor data, and atmospheric models to solve critical challenges in water security, heat resilience, and precision agriculture. We are not just analyzing data; we are engineering the survival code for a warming planet.
What you'll work on
- Model Architecture: Architect and deploy deep learning models (CNNs, Transformers) for Remote Sensing applications. You will analyze multi-spectral satellite and drone imagery to monitor soil moisture, vegetation health, and desertification trends.
- Sensor Fusion: Lead the integration of heterogeneous data streams—combining subterranean IoT soil sensors with atmospheric data to create hyper-local microclimate predictions.
- Resource Optimization: Develop Reinforcement Learning (RL) agents to optimize irrigation and energy usage in controlled-environment agriculture (vertical farms/greenhouses).
- Scientific Leadership: Act as the technical mentor for a team of PhD-level researchers. You will set the research agenda, review code, and drive the publication of papers in top-tier journals (Nature Climate Change, CVPR).
- Prototype to Product: Bridge the gap between theoretical research and field deployment, working with hardware engineers to deploy edge-AI models on autonomous rovers and drones.
What we're looking for
- Education: PhD in Computer Science, Environmental Engineering, Geophysics, or a related field.
- Experience: Minimum of 10+ years in Data Science, with a proven track record in Geospatial Analytics, Earth Observation, or Agritech.
- Technical Stack: Mastery of Python, PyTorch/TensorFlow, and geospatial libraries (GDAL, Rasterio, GeoPandas). Experience with Google Earth Engine is a plus.
- Domain Knowledge: A strong understanding of physical systems (hydrology, thermodynamics, or plant physiology). You must understand the science behind the data.
- Innovation: A portfolio of patents or published research in the field of climate tech or environmental AI.
Tags & focus areas
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