
Senior Geospatial Data Scientist
1 day ago
We are seeking an experienced Geospatial Data Science Engineer to join our team. As a key member of our organization, you will play a critical role in developing and delivering innovative geospatial solutions.
As a Geospatial Data Science Engineer, your primary responsibilities will include:
- Developing machine learning models for geospatial data science applications
- Collaborating with customers to understand their needs and preferences
- Building high-quality analytics systems that solve business problems using geospatial techniques
Required skills and qualifications:
- 5+ years of practical experience in machine learning or related field
- Proven data science and AI skills with Python, PyTorch, and Jupyter Notebooks
- Experience in building and optimizing supervised and unsupervised machine learning models
- Expertise in one or more areas of traditional and deep learning-based computer vision techniques
Benefits:
- Competitive salary and benefits package
- Opportunity to work on cutting-edge projects and technologies
- Collaborative and dynamic work environment
Others:
- Strong communication and problem-solving skills
- Ability to perform data extraction, transformation, loading from multiple sources and sinks
- Experience in data visualization using matplotlib and other libraries
The ideal candidate will have a strong background in geospatial data science, excellent technical skills, and the ability to communicate complex ideas effectively. If you are passionate about geospatial data science and want to join a dynamic team, please submit your application.
Key Requirements:
- Master's degree in RS, GIS, Geoinformatics, or related field
- Knowledge and experience of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise
- Experience with Image analysis and Image processing techniques in SAR, Multispectral and Hyperspectral imagery
Desired Skillset:
- Experience in LLMs preferred
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