Geospatial Data Scientist

11 hours ago

Pune, Maharashtra, India beBeeGeospatial Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

This role requires a highly skilled professional with expertise in geospatial data science and machine learning. The ideal candidate will have experience in developing and deploying data-driven solutions using Python, PyTorch, and Jupyter Notebooks.

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  • The chosen candidate will collaborate closely with customers to understand their needs and develop tailored data science solutions.
  • They will be responsible for conceptualizing and delivering high-quality analytics systems that address complex business problems.
  • Key responsibilities include feature engineering, model selection, hyperparameter optimization, and deploying models to production environments.
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Technical Requirements:

  • Proven track record in practical machine learning, with a strong foundation in statistics and mathematics.
  • Experience in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques.
  • Expertise in computer vision, including traditional and deep learning-based methods, as well as 3D deep learning with Point Clouds and meshes.
  • Ability to work independently and effectively communicate complex geospatial concepts to diverse audiences.
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Desired Skills:

  • Master's degree in RS, GIS, Geoinformatics, or a related field, with knowledge of remote sensing and GIS principles.
  • Experience with ESRI products, such as ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise.
  • Strong programming skills in Python, with experience in popular libraries like PyTorch and Jupyter Notebooks.
  • Excellent communication and presentation skills, with the ability to represent the organization at conferences and forums.
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Benefits:

  • Opportunity to work on cutting-edge geospatial projects, collaborating with a talented team of professionals.
  • Professional growth and development, with access to training and resources to enhance skills and knowledge.
  • A dynamic and supportive work environment, with a focus on innovation and customer satisfaction.
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Others:

  • Self-motivated and life-long learner, with a passion for staying up-to-date with the latest technology trends.
  • Ability to travel and work at client sites, with a willingness to adapt to new challenges and opportunities.
  • Experience with data visualization, hyperparameter-tuning, and LLMs is a plus.

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