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Data Analyst Specialist
3 weeks ago
Unlocking Satellite Intelligence
We are reimagining satellite data processing and delivery, specializing in satellite edge computing to enable real-time analysis and rapid decision-making.
Our vision is to turn satellites into autonomous systems that interpret data instantly, unlocking advantages across various sectors.
Based globally, our team works on complex challenges in earth observation, space situational awareness, and autonomous satellite operations.
Job Summary
As a Data Scientist, you will work closely with our development team on the space data analytics product Orbitfy, exploring use cases and collaborating with the CTO to strategize the product roadmap.
Our data science team is the heart of our product development, offering space-derived analytics as the source of truth for key stakeholders.
Responsibilities
- Develop and apply AI tools to enhance productivity across the data science lifecycle.
- Design and implement state-of-the-art computer vision and ML models for satellite imagery.
- Train and fine-tune deep learning models for edge deployment, balancing performance with efficiency and computational constraints.
- Provide MLOps, orchestration, and workflow best practices.
- Cross-functionally collaborate with GIS engineers, software teams, and product managers to integrate ML solutions into the pipeline.
- Stay ahead of emerging trends in Edge AI, ML, and remote sensing, translating them into practical solutions.
- Process large datasets from diverse sensors, designing robust preprocessing and feature extraction workflows.
- Clearly articulate technical concepts and results to both technical and non-technical stakeholders.
- Ensure robustness and reliability of solutions through systematic testing and validation.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
- Strong skills in Python, TensorFlow, PyTorch, OpenCV, cloud infrastructure, Docker, git best practices, etc.
- Experience with architectures such as CNNs, ViTs, GANs, and foundational models, model compression, and FPGA acceleration.
- Familiarity with satellite imagery and remote sensing preferred.
