Data Scientist/Signal Processing Engineer

Data Scientist / Signal Processing Engineer

Interim Secret Clearance required

Highly skilled data scientist/signal processing engineer to develop, implement, and analyze large-scale Interferometric Synthetic Aperture Radar (InSAR) workflows using Python on high-performance computing (HPC) systems. This role focuses on advanced geospatial signal processing, research, algorithm development, and close collaboration with technical experts, humanitarian aid specialists, and internal/external stakeholders.

Responsibilities include but not limited to:

- Conduct research on InSAR methodologies
- Develop, optimize, and maintain Python-based processing pipelines.
- Process and analyze SAR image data into InSAR products such as displacement and velocity
- Integrate GPS/GNSS data with InSAR measurements for validation, calibration, and interpretation
- Apply statistical machine-learning techniques including Gaussian Mixture Modeling (GMM) and other tools? to help create or improve landslide susceptibility maps. 
- Collaborate closely with technical and research teams as well as non-technical stakeholders.
- Document algorithms, workflows, and findings in clear and reproduceable technical documentation. 

Must Have:
Python
InSAR
Image-based data sets
Python
Technical Documentation

Clearance:
An interim clearance is sufficient for the start of this position.

Work Location:
This position is REMOTE. The candidate is able to work remotely from any location. They may be asked to take up to 4 trips per calendar year to Massachusetts if the program/project requires it.