Data Scientist - I at digantara – Bengaluru, Karnātaka

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.

• Competitive incentives, a galvanizing workspace, a blazing team—pretty much everything you’ve heard about a startup, plus you get to work on space technology

• Hustle in a well-funded startup that allows you to take charge of your responsibilities and create your moonshot

• Work on exciting new features from scratch and learn new tech

Ideally, we are seeking a competent statistician who has developed an AI model to replace a physics-based algorithm, resulting in an order of magnitude improvement in computational efficiency while maintaining equivalent accuracy

• Build and deploy machine learning models to replace traditional algorithms, achieving significant performance improvements while maintaining accuracy.

• Create regression models to predict the trajectories and behaviours of space objects, considering various dynamic factors.

• Develop and implement statistics-based algorithms to enhance the accuracy and quality of existing algorithms.

• Develop robust evaluation frameworks to assess the performance of classification and regression models, continually iterating on algorithms to enhance accuracy and efficiency.

• Collaborate with interdisciplinary teams to integrate machine learning solutions into our Space-MAP™ platform, ensuring seamless compatibility with existing systems.

• Master's or advanced degree in AI/ML, Statistics, Mathematics, or a related field.

• Proficiency in basic descriptive statistics, hypothesis testing, feature transformation, dimensionality reduction, supervised or unsupervised learning, model tuning, and validation.

• Knowledge of data structures and various machine learning techniques. Familiarity with deep learning networks and other numerical algorithms.

• At least 2 years of experience in developing machine learning models for classification and regression in a professional setting.

• Hands-on experience with Python packages for AI/ML.

• Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks.

• Experience with parallel programming and version control.

• Strong problem-solving skills and the ability to work effectively in a multidisciplinary team.

• Excellent communication skills.

• Passion for team success and personal growth.

• Critical thinking and decision-making abilities.

• Ability to write and deliver technical documents and briefings.

• Occasional travel as required.