Spatial Analytics Specialist
2 days ago
Geospatial Data Science Engineer
">As a Geospatial Data Science Engineer, you will work closely with customers to understand their needs and develop innovative solutions using ESRI products.
">The role demands strong problem-solving skills, effective communication of complex geospatial concepts, and the ability to work independently.
">Key Responsibilities:
">- Consult with customers to understand their needs and develop data science solutions.
- Map business problems to machine learning or advanced analytics approaches.
- Build high-quality analytics systems that solve customers' business problems.
- Develop and deploy models to production in a cloud, on-premises or hybrid environment.
- Implement best practices for geospatial machine learning and develop reusable technical components.
- Integrate ArcGIS with popular deep learning libraries.
- Keep up-to-date with the latest technology trends in machine and deep learning.
Desired Skills:
">- 5+ years of practical machine learning experience.
- Proven data science and AI skills with Python, PyTorch, and Jupyter Notebooks.
- Expertise in one or more areas: traditional and deep learning-based computer vision techniques, convolutional neural networks, transformer models, 3D deep learning, applied statistics concepts, data visualization, hyperparameter-tuning, and LLMs.
- Strong communication skills, including to non-technical audiences.
- Strong Python coding skills and knowledge of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise.
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