
Data Analysis Lead for Space Applications
- Bangalore, Karnataka
- Permanent
- Full-time
Key Responsibilities:
- 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.
- 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.
- 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.