Senior Satellite Data Scientist

At our core, we're a team of innovators reimagining how satellites process and deliver intelligence from orbit.

We excel in satellite edge computing, developing cutting-edge solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.

Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly.

This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

With a presence in the US, Europe, and India, we bring together a talented team working on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations.

As a passionate, innovative, and mission-driven group, we're committed to a better future for planet Earth.

As part of our India development team, you'll work on our space data analytics product Orbitfy, exploring different use cases for the technology and collaborating closely with our CTO to strategize the product and company roadmap for the next 3-4 years.

We seek someone who's hands-on, embracing AI tools in day-to-day workflows, and leveraging them to boost productivity and accelerate results.

You'll work closely with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.

This is a remote-first role, requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required.

• AI-Driven Development: Proactively utilize modern AI tools to enhance productivity throughout the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
• Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
• Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
• Provide MLOps, orchestration, and workflow best practices.
• Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy's broader pipeline.
• Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, translating them into practical solutions for space applications.
• Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
• Communication & Reporting: Clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.
• Quality & Validation: Ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.
• Documentation and Reporting: Maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.

• Delivery of LPL's machine learning modules on schedule for satellite missions or user trials.
• Work on the deployment of LPL's products for multiple satellite missions.
• Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
• Effective collaboration and communication across distributed teams.
• Contributions that shape the product roadmap and strengthen Little Place Labs' position in edge-based space intelligence.

Requirements:

• Education: Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience: 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
• Technical Skills:

 AI/ML Model Development and Deployment | Cloud Platforms | Databases | Containerization | DevOps | Communication Tools | Version Control Systems | Agile Methodologies