Data Analysis Lead for Space Applications

Data Analysis Lead

• Lead the design and implementation of data analysis strategies for space-related projects, including satellite imagery, telemetry, and sensor data.
• Develop and maintain robust data processing and analysis pipelines to handle large-scale, high-velocity datasets from space assets.
• Apply advanced statistical methods, machine learning, and AI algorithms to extract meaningful insights and patterns from complex data.
• Oversee the generation of detailed reports, visualizations, and dashboards to present analysis results clearly and concisely to both technical and non-technical audiences.
• Serve as the primary point of contact for data analysis, collaborating closely with engineering, ground segment, and mission operations teams.
• Mentor and manage a team of data analysts, fostering a culture of innovation, accuracy, and continuous improvement.
• Stay up-to-date with the latest advancements in data science, space technology, and analytical tools to ensure our methods remain cutting-edge
  

Requirements

• What We're Looking For
• Proven experience (7+ years) in large-scale data analysis, ideally in space applications, remote sensing, or other advanced technology domains.
• Mastery of C++ and Python, with strong experience in AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Expertise in data visualisation, statistical analysis, and UI/front-end development.
• Experience with big data technologies (Hadoop, Spark) and cloud environments (AWS, Azure, Google Cloud).
• Strong track record of building solutions from scratch and delivering under tight timelines.
• Excellent leadership, problem-solving, and communication skills.
• Advanced degree in Data Science, Computer Science, AI, or related field is preferred — but skills and execution matter most
  

Benefits

Why This Role Stands Out

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• Ownership: End-to-end responsibility for delivering the ground segment.
• Impact: Work on data and AI systems that directly influence strategic and national priorities.
• Freedom to Build: Design the team, choose the tools, set the direction.
• Cutting-Edge Work: Apply AI and big data at scale in one of the most demanding technical environments on Earth