Geospatial Data Scientist

6 days ago

Alleppey, Kerala, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000
Job Description

We are seeking an exceptional Geospatial Data Science Engineer to join our team. The ideal candidate will possess a unique blend of technical expertise, business acumen, and interpersonal skills.

This role involves working closely with customers to understand their needs, developing and delivering data science solutions that address complex geospatial challenges. You will be responsible for conceptualizing and implementing innovative solutions using ESRI products, as well as representing the organization at conferences and forums to promote ESRI solutions.

Required Skills and Qualifications
  • 5+ years of practical machine learning experience or applicable academic/lab work
  • Proven data science and AI skills with Python, PyTorch, and Jupyter Notebooks
  • Experience in building and optimizing supervised and unsupervised machine learning models, including deep learning and various other modern data science techniques
  • Expertise in one or more of the following areas:
  • Traditional and deep learning-based computer vision techniques, including image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more
  • Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others
  • Transformer models applied to computer vision
  • Expertise in 3D deep learning with Point Clouds, meshes, or Voxels, including the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more
  • A fundamental understanding of mathematical and machine learning concepts, including calculus, back propagation, ReLU, Bayes' theorem, Random Forests, time series analysis, etc.
  • Experience with applied statistics concepts
  • Ability to perform data extraction, transformation, loading from multiple sources and sinks
  • Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries
  • Experience with hyperparameter-tuning and training models to a high level of accuracy
  • Self-motivated and a life-long learner
Benefits
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
Others

This role requires strong communication skills, including the ability to communicate complex geospatial concepts to diverse audiences. You should be open to travel and ready to work at client-side locations.

The ideal candidate will have a Master's degree in RS, GIS, Geoinformatics, or a related field with knowledge of RS & GIS, as well as experience with ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, etc.

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