Data Scientist - Python, DevOps, Geospatial

Develop and implement scalable data science workflows and operational products in high-performance cloud and supercomputing environments. Build and maintain well-documented Python code, integrate geospatial information systems, data pipelines and processing techniques, and apply image processing, remote sensing algorithms and machine learning to optical and SAR data. Work with DevOps practices such as CI/CD and infrastructure as code, preferably on AWS, and use geospatial packages including xarray, pandas and NumPy. Communicate technical issues to technical leads, program managers and science stakeholders within an agile team.