Advanced Satellite Data Analyst

1 day ago

Chennai, Tamil Nadu, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000
Unlock the Power of Satellite Edge Computing

We're pushing the boundaries of how satellites process and deliver intelligence from orbit.

Our focus is on satellite edge computing that enables real-time analysis, rapid decision-making, and reduced data downlink needs.

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

Position Overview

As a Data Scientist, you'll be part of our India development team for our space data analytics product Orbitfy, exploring different use cases and working closely with the CTO to strategize the product and company roadmap.

You will leverage AI tools to enhance productivity and accelerate results, collaborating with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.

Key Responsibilities
  • Proactively utilize modern AI tools to boost productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
  • Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
  • 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 our 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.
Required Skills and Qualifications
  • Strong background in machine learning, computer vision, and deep learning.
  • Proficiency in programming languages such as Python, R, or Julia.
  • Experience with AI frameworks like TensorFlow, PyTorch, or Keras.
  • Knowledge of satellite imaging and remote sensing principles.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a distributed team.
  • Stay up-to-date with emerging trends in Edge AI, ML, and remote sensing.

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