Geospatial Data Scientist

As a seasoned Geospatial Data Science Engineer, you will be instrumental in unlocking the potential of customer data to drive informed operational and business decisions.

Job Overview

We seek an experienced professional with a strong background in practical machine learning, proven data science and AI skills with Python, PyTorch and Jupyter Notebooks, and deep learning expertise.

• You will work closely with customers to understand their needs and develop innovative solutions using ESRI products.
• Key responsibilities include conceptualizing and developing high-quality analytics systems that solve complex business problems using techniques from data mining, statistics, and machine learning.
• Additionally, you will be responsible for writing clean, collaborative, and version-controlled code to process big data and streaming data from various sources and types.
• Other key responsibilities include performing feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploying models to production in cloud, on-premises, or hybrid environments.
• You will also implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping.
• Furthermore, you will integrate ArcGIS with popular deep learning libraries such as PyTorch.
• Lastly, you will stay up-to-date with the latest technology trends in machine and deep learning and incorporate them into project delivery.

Requirements

To succeed in this role, you must possess the following qualifications:

• 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 traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more).
• Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others.
• Transformer models applied to computer vision.
• Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more.
• 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.

Preferred Skills

While not required, we highly prefer candidates with the following 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.

Benefits

As a valued member of our team, you can expect:

• A competitive salary and benefits package.
• Opportunities for career growth and professional development.
• A dynamic and supportive work environment.

What We Offer

In return for your expertise and passion, we offer:

• A chance to work with a leading organization in the field of geospatial data science.
• Opportunities to collaborate with a talented team of professionals.
• A platform to share your knowledge and experiences with the community.

How to Apply

If you are a motivated and experienced professional looking to take your career to the next level, please submit your application along with your resume and a cover letter explaining why you are the ideal candidate for this role.