
Geospatial Data Science Leader
6 days ago
Job Title:
\Geospatial Data Science Professional
\\Job Description:
\We are seeking a highly skilled Geospatial Data Science professional to join our team. The successful candidate will have 5+ years of experience in practical machine learning, with proven data science and AI skills using Python, PyTorch, and Jupyter Notebooks.
\Key Responsibilities:
\- Consult closely with customers to understand their needs and develop tailored solutions.
- Develop high-quality analytics systems that solve complex business problems using techniques from data mining, statistics, and machine learning.
- Build and optimize supervised and unsupervised machine learning models, including deep learning, and various other modern data science techniques.
- Integrate ArcGIS with popular deep learning libraries such as PyTorch and implement best practices for geospatial machine learning.
- 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.
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery.
- Support in estimation and feasibility for various RFPs.
Desired Skillset:
\- 5+ years of practical machine learning experience or applicable academic/lab work.
- Proven data science and AI skills with Python, PyTorch, and Jupyter Notebooks.
- Experience in building and optimizing supervised and unsupervised machine learning models, including deep learning, and various other modern data science techniques.
- Expertise in one or more of the following areas: traditional and deep learning-based computer vision techniques, convolutional neural networks, transformer models applied to computer vision, 3D deep learning with Point Clouds, meshes, or Voxels.
- A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes' theorem, Random Forests, time series analysis, etc.
- Experience with applied statistics concepts.
- Ability to perform data extraction, transformation, loading from multiple sources and sinks.
- Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries.
- Experience with hyperparameter-tuning and training models to a high level of accuracy.
- Self-motivated, life-long learner.
Non-Negotiable Skills:
\- 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.
- Should be open to travel and ready to work at client-side (India).
Why Join Us:
\As a Geospatial Data Science Professional, you will be part of a dynamic team working on cutting-edge projects that drive business growth and innovation. You will have the opportunity to collaborate with experienced professionals, develop your skills, and contribute to the success of our organization.
\How to Apply:
\If you are a motivated and talented individual with a passion for geospatial data science, please submit your application, including your resume and cover letter, to apply for this exciting opportunity.
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