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About the role
As a Data Analysis Lead at our company, you will play a pivotal role in transforming raw data from satellite systems into actionable intelligence for various space applications. Your responsibilities will include leading a team of data analysts, developing advanced analytical models, and effectively communicating key findings to stakeholders. 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. Qualifications Required: - 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 visualization, 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. - An advanced degree in Data Science, Computer Science, AI, or related field is preferred. By joining our team, you will have the opportunity to take ownership of delivering the ground data capability for a mission that directly impacts the future of space applications. You will work on data and AI systems that influence strategic and national priorities, have the freedom to design the team and choose the tools, and engage in cutting-edge work applying AI and big data at scale in one of the most demanding technical environments on Earth. As a Data Analysis Lead at our company, you will play a pivotal role in transforming raw data from satellite systems into actionable intelligence for various space applications. Your responsibilities will include leading a team of data analysts, developing advanced analytical models, and effectively communicating key findings to stakeholders. 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. Qualifications Required: - 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 visualization, 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. - An advanced degree in Data Science, Computer Science, AI, or related field is preferred. By joining our team, you will have the opportunity to take ownership of delivering the ground data capability for a mission that directly impacts the future of space applications. You will work on data and AI systems that influence strategic and national priorities, have the freedom to design the team and choose the tools, and engage in cutting-edge work applying AI and big data at scale in one of the most demanding technical environments on Earth.