Data Scientist

Digantara; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Digantara is seeking a Data Scientist with strong expertise in building, validating, and deploying AI models for space applications. You will design, test, and maintain ML models and build scalable cloud-based data processing solutions for satellite operations.

Collaborate with data scientists, software engineers, astrodynamics engineers, and operations teams to productionize data and processing pipelines, while communicating results through technical docs and visuals.

Qualifications

• PhD candidates require no industry experience; Master’s candidates should have at least 1 year; BE/BTech candidates should have at least 3 years.
• Proficiency in Python (NumPy, SciPy, Pandas, PyTorch/TensorFlow) and SQL.
• Experience with large datasets, data preprocessing, algorithm validation, and implementing CI/CD pipelines.
• Experience using version control (Git) and cloud platforms (AWS/Azure/GCP).
• Strong foundation in statistics and data science concepts.
• Strong analytical, problem-solving, and communication skills.

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 to integrate data, including images, pipelines into production systems.
• Conduct research to enhance optimization and estimation techniques in astrodynamics.
• Prepare technical documentation, reports, and visualizations for stakeholders.

Skills

Python

SQL

CI/CD

Git

Statistics

Data science

Communication

Problem solving

Cloud platforms

Education

PhD (CS/Applied Math/Statistics)

MS (CS/Applied Math/Statistics)

BE/BTech

Tools

AWS

Azure

GCP

OpenCV

Job 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)