Data Scientist III

Job Summary

General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities, including THRESHER and DRAGONSPELL, that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. Our rapidly growing suite of federal software solutions are used by thousands of intelligence analysts and military personnel around the globe to counter new and emerging threats to national security

GA-I3 is looking for a Data Scientist to join our federal team to develop scalable, high-performant cloud-based computer vision systems focused on the automated detection of objects in satellite imagery. State of the art Convolutional Neural Networks (CNNs) are used in AI/ML pipelines to process large volumes of satellite imagery. Object detections from the platform are used by the community to search for objects, maintain object custody, and in Multi-INT analytics.
DUTIES AND RESPONSIBILITIES:

• Implement computer vision algorithms for object detection and classification in remote sensing imagery
• Collaborate with customers to define model requirements to deliver operational solutions
• Maintain existing capabilities deployed to customer facilities and cloud environments including debugging and updating to keep pace with the evolving environment and technology
• Document and communicate highly technical concepts effectively to technical and non-technical audiences in a clear and effective manner
• Communicate with management, customers, developers, and users
• Work directly with internal and external developers to transition applications into the computer vision platform
• Represent the organization as a contact with internal and external representatives.
• Maintain the strict confidentiality of sensitive information.
• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

• Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.
• Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.
• Must be able to work both independently and in a team environment.
• Able to work extended hours and travel to support project needs as required.

PREFERRED SKILLS AND EXPERIENCE:

• Excited about understanding our customer's needs and mission
• Interested in maintaining and adapting existing codebases
• Prior experience with PyTorch, Tensorflow, or a modern machine learning framework.
• Strong programming skills, primarily in Python.
• Prior experience with geospatial data processing libraries (e.g., GDAL, geopandas).
• Experienced working with a variety of remote sensing data sources and types (e.g., EO, SAR).
• Experienced with full lifecycle development
• CI/CD pipelines and tooling (Gitlab CI/CD, ArgoCD, CircleCI, Jenkins).
• Deployment technologies such as: Docker, Kubernetes, Knative, Helm, Rancher.
• Ability to understand and implement new models from the literature
• Familiarity with Intelligence Community and DoD mission sets.