Geospatial Data Scientist

1 week ago


Hyderabad, India Kshema General Insurance Limited Full time

Must Have



  • Minimum 2 years of experience in Geospatial Data Science.
  • Bachelor’s/Master’s degree (M.Sc./M/Tech) from an accredited College or University in Computer Science, Geoinformatics/Geomatics or related field.
  • Should have experience with programming languages like Python.
  • Experience in a Deep Learning framework such as Tensorflow/Keras,Pytorch.
  • Strong proficiency with geospatial and imagery data
  • Should have experience with Geodatabase to handle spatial data in Postgres+PostGIS.
  • Proficiency in algorithm and model development, model validation, and model implementation to scale, especially with images
  • Experience in handling both vector and raster data in python.
  • Good communication skills, self-learning capabilities, must be a team player and self-motivated.


Role and Responsibilities



  • Create innovative insights from satellite imagery and geo-location data with a focus on large scale spatio-temporal analyses, computer vision and remote sensing, feature extraction from imagery and time series data, building complex model architectures using ML/DL techniques.
  • End-to-end system design: Data analysis, feature engineering, algorithm selection & implementation, debugging, and maintenance in production.
  • Work with a wide range of datasets such as Raster (GeoTIFF) and Vector (Shapefile, GeoJson, KML) for data science analysis.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Creation of an automated algorithm to streamline the geospatial data processing.
  • Should work on computing satellite indices for agriculture applications.
  • Build/train models for agriculture applications like crop classification.
  • Developing novel models for crop health monitoring and crop harvest detection.
  • Suggest Data Science best practices and proper use of Code Repository and Model Repository
  • Suggest optimum infra-sizing for Data Science analysis (selection of RAM, Cores, Storage)



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