Geospatial Data Scientist

6 days ago

Hubli, Karnataka, India beBeeGeospatial Full time ₹ 13,64,576 - ₹ 24,33,638
About Us

We are a geospatial data science organization providing innovative solutions to various industries. Our team is comprised of highly skilled professionals with expertise in machine learning, data science, and AI.

Our vision is to empower organizations to make informed decisions using cutting-edge geospatial technology. We strive to deliver high-quality services that exceed our customers' expectations.

We believe in the importance of collaboration and teamwork. Our employees work together to achieve common goals and foster a culture of innovation and creativity.

We are committed to staying up-to-date with the latest technological advancements in the field of geospatial data science. This enables us to provide our clients with the most effective solutions for their specific needs.

">The Role

As a Geospatial Data Science Engineer, you will be responsible for conceptualizing and developing solutions using ESRI products. You will work closely with customers to understand their needs and develop models for India-specific GeoAI use cases.

You will be responsible for representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. You must be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.

You will perform feature engineering, model selection and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises or hybrid environment.

">Responsibilities
  • Consult closely with customers to understand their needs
  • Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches
  • Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics and machine learning
  • Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types
  • Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
  • Integrate ArcGIS with popular deep learning libraries such as PyTorch
Requirements

A Master's degree in RS, GIS, Geoinformatics, or a related field with knowledge of RS & GIS

Knowledge and experience of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, etc.

Experience with Image analysis and Image processing techniques in SAR, Multispectral and Hyperspectral imagery.

Strong communication skills, including to non-technical audiences

Should have strong Python coding skills

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