
Geospatial Data Scientist
24 hours ago
Unlock the potential of your data to drive better business decisions with our innovative geospatial data science solutions.
About the RoleWe are seeking an experienced Geo Spatial Data Science Engineer to join our team. As a key member of our organization, you will play a critical role in developing and delivering cutting-edge machine learning and AI models that unlock the maximum potential of our customers' data.
This position requires 5+ years of practical experience in machine learning, with proven skills in data science and AI using Python, PyTorch, and Jupyter Notebooks. You will work closely with customers to understand their needs and develop solutions that meet their specific requirements.
In this role, you will be responsible for conceptualizing and developing solutions using ESRI products, representing the organization at conferences and forums, showcasing expertise, and promoting ESRI solutions. You should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.
Key Responsibilities- Consult closely with customers to understand their needs and develop customized solutions.
- Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches.
- Build high-quality analytics systems that solve customer 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 various sources and types.
- Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy models to production in a cloud, on-premises, or hybrid environment.
- 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.
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them into project delivery.
- Support in estimation and feasibility for various RFPs.
- 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.
- Strong Python coding skills.
- Open to travel and willing to work at client-side (India).
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