Data Scientist at Digantara

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, AI/ML Models, Data Processing, Statistical Models, Cloud Solutions, Data Preprocessing, Algorithm Validation, CI/CD Pipelines, Version Control, AWS, Azure, GCP, Statistics, Analytical Skills, Problem-Solving

Industry

Defense and Space Manufacturing

Description

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 all regimes, enabling 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. We are looking for a Data Scientist with strong expertise in building, validating, and deploying AI models for space applications. Why Us? 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. Responsibilities: 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. Required Qualifications: 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. Preferred Qualities: 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. General Requirements: Ability to take direction and work independently. Interpersonal skills to enable working in a diverse and dynamic team. Maintain a regular and predictable work schedule. Writing and delivering technical documents and briefings. Verbal and written communication skills, as well as organizational skills. Travel occasionally as necessary. Job Location: Hebbal, Bengaluru

Responsibilities

Design, develop, test, and maintain statistical or AI/ML models for space operations. Collaborate with cross-functional teams to integrate data and processing pipelines into production systems.