Data Science Engineer

3 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Science Engineer

Key Responsibilities:

  • Analyze and process

    thermal and optical imagery

    from satellite and drone platforms.
  • Develop data-driven geospatial solutions for applications including:
  • Crop health monitoring

    , water stress detection, and irrigation planning
  • Yield prediction

    using fused thermal and optical data
  • Soil moisture estimation

    and early detection of

    drought conditions

  • Forest fire detection

    , hotspot mapping, and risk assessment
  • Greenhouse gas (GHG) detection

    and other

    emission monitoring

  • Urban heat island mapping

    and infrastructure-level thermal assessments
  • Design and implement

    machine learning and deep learning models

    to extract actionable insights from geospatial datasets.
  • Work closely with product and engineering teams to build

    scalable, real-time solutions

    that can be deployed in operational environments.

Required Qualifications:

  • Master’s degree in

    Data Science, Remote Sensing, Geospatial Data Science

    , or a related discipline.
  • Minimum 3 years

    of professional or research experience.
  • Strong coding skills in

    Python

    , with proficiency in libraries such as

    NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, and GDAL

    .
  • Solid foundation in

    remote sensing techniques

    , image preprocessing, and satellite data analytics.
  • Experience applying

    ML/DL/computer vision

    techniques to

    satellite or drone imagery

    for real-world geospatial applications.


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