Data Science Specialist

2 weeks ago

Kurnool, Andhra Pradesh, India beBeeSpace Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Us

We're a pioneering company reimagining how satellites process and deliver intelligence from orbit.

Our specialty lies in satellite edge computing, where we develop advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.

We envision transforming 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.

Job Overview

You will be part of our India development team for our space data analytics product Orbitfy, exploring different use cases for the technology, and working closely with our CTO to strategize the product and our roadmap for the next 3-4 years.

Our data science team is the heart and brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.

Key Responsibilities
  • AI-Driven Development: Use modern AI tools to enhance productivity across 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, and translate 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.
Success Metrics
  • Delivery of our machine learning modules on schedule for satellite missions or user trials.
  • Work on the deployment of our 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 our position in edge-based space intelligence.

We're looking for someone who is hands-on, embraces AI tools in day-to-day workflows, and leverages them to boost productivity and accelerate results. You will work closely with engineering, product, and our CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.

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