Data Scientist - Geospatial Applications

Trigyn has a contractual opportunity for a Data Scientist. This resource will be working Remotely.

Job Description:

Scope of Work:

• Model Adaptation: Focused on the model architecture, ensuring the model handles the resolution differences between drone (3cm) and satellite (30cm) imagery effectively.

• User Interface Enhancement: Upgrade BEAM's user interface to support new functionality and compatibility with the revised model outputs and manage deployment onto municipal infrastructure.

• Training and Inference Pipeline: Oversee the development and scaling of the BEAM architecture for fast, robust deployment in new scenarios.

• Data Management: Design and oversee the data labelling strategy, working with local experts to ensure accurate classification of different structure types.

• Quality Assurance: Implement rigorous validation procedures to ensure accurate structure detection and classification across different urban contexts.

• Technical Collaboration: Work closely with Client's technical team to ensure all developments align with ongoing infrastructure improvements and maintain system integrity.

• Communication: Present and discuss technical outputs with both subject matter experts and general audiences.

• Documentation: Create comprehensive technical documentation, training materials, and user guides for municipal partners.

Required Experience:

• Qualifications: Master's degree or higher in Computer Science, Data Science, Remote Sensing, or a related field, with focus on machine learning applications (or demonstrable equivalent work experience).

• A minimum of 5 years of experience in Data science with at least one project working with Geospatial technologies.

• Deep Learning: At least 3 years of experience applying deep learning to computer vision problems, particularly in remote sensing or geospatial applications.

• Technical Stack: Proficiency in PyTorch or a related DL framework, and experience with geospatial libraries (GDAL, rasterio, geopandas).

• MLOps knowledge is highly desirable

• Experience working with cloud hosting platforms such as Amazon Web Services (AWS), Microsoft Azure, Digital Ocean, Docker, Google Cloud is highly desirable.

Desired Experience:

• UI Development: Experience developing and maintaining user interfaces for technical applications.

• Model Development: Demonstrated experience adapting and fine-tuning deep learning models for specific use cases.

• Geospatial Analysis: Strong understanding of GIS principles and experience working with aerial/satellite imagery.

• Project Implementation: Experience implementing technical solutions in developing country contexts is desirable.

• Team Collaboration: Proven ability to work effectively in collaborative technical environments and with non-technical stakeholders.

• Documentation: Strong technical writing skills and experience creating user documentation.

Languages:

• English (required)