Data Scientist
Digantara · Bengaluru, Karnataka, India
Defense and Space Manufacturing · 51-200 employees
About the role
Design, develop, and maintain AI/ML models for space operations while implementing scalable cloud-based data processing solutions. Collaborate with cross-functional teams to integrate data pipelines and communicate technical results to stakeholders.
What they look for
Requirements
Requires a degree in Computer Science, Applied Mathematics, or Statistics with relevant industry experience based on the degree level. Proficiency in Python, SQL, and experience with cloud platforms and large datasets is essential.
Benefits
Full 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 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.
Why Choose 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.
Ideal candidate:
We are looking for a Data Scientist with strong expertise in building, validating, and deploying AI models for space applications.
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.
Desired 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.
General Requirements:
- 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.
Job Location: Hebbal, Bangalore (On-site)
