Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across various regimes, allowing end-users to gain actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception (data collection), comprehension (data processing), and prediction (analytics). This holistic approach empowers Digantara to monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain awareness.
Join a well-funded, fast-growing startup at the forefront of space technology. At Digantara, you’ll work on groundbreaking projects that ensure orbital safety and sustainability. We offer competitive incentives, a collaborative environment, and opportunities to innovate from day one.
We are looking for a Data Scientist with strong expertise in building, validating, and deploying AI models for space applications.
• Design, develop, test, and maintain statistical or AI/ML models for space
operations.
• Design and implement scalable, cloud-based solutions for efficient satellite data
processing.
• Collaborate with cross-functional teams, including data scientists, software
engineers, astrodynamics engineers and operations team to integrate data,
including images, processing pipelines into production systems.
• Conduct research to enhance optimization and estimation techniques relevant to
astrodynamics applications.
• Prepare technical documentation, reports, and visualizations to communicate
results to technical and non-technical stakeholders.
• B.E./ B.Tech, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Statistics, or related fields. Ph.D. candidates require no prior industry experience; Master’s candidates should have at least 1 year of industry experience; and B.E./ B.Tech candidates should have at least 3 years of industry experience.
• Proficiency in Python (NumPy, SciPy, Pandas, PyTorch/TensorFlow) and SQL.
• Experience working with large datasets, data preprocessing, algorithm validation, and implementing CI/CD pipelines.
• Experience using version control systems (Git) and cloud platforms (AWS, Azure, or
GCP).
• Strong foundation in statistics and data science related concepts.
• Strong analytical, problem-solving, and communication skills.
• 2+ Years of proficiency in high-performance computing (HPC), specializing in performance
optimization through GPU acceleration and parallel processing frameworks.
• Proven experience in optimization algorithms and operations research.
• Experience with OpenCV.
• Strong adaptability and ability to thrive in a start-up environment.
• Strong problem-solving skills.
• Excellent communication skills and the ability to work effectively in a multidisciplinary team.
• Critical thinking and decision-making abilities.
• Ability to write and deliver technical documents and briefings.
Digantara is a Space Surveillance and Intelligence company focused on protecting and defending sovereign and allied interests across increasingly contested operational domains. Our mission is straightforward: deliver the clarity, precision, and foresight required to counter emerging threats and ensure long-term security and sustainability in space.
We integrate advanced space-based systems, proprietary optical sensors, and AI-driven analytics into a unified intelligence infrastructure that transforms how warfighters and decision-makers access operationally relevant data. By delivering real-time awareness and mission-ready intelligence, Digantara is reshaping the way nations monitor, protect, and defend critical assets.
As global reliance on space accelerates, Digantara is building the intelligence layer that will define future deterrence, operational readiness, and strategic superiority.
