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Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 5, 2026. General Atomics scores A on the Alion truth index.

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General Atomics is a privately held American defense and energy technology company headquartered in San Diego, California, founded in 1955 as a division of General Dynamics. Its affiliate General Atomics Aeronautical Systems builds the Predator, Reaper and Gray Eagle remotely piloted aircraft, while its Electromagnetic Systems group makes aircraft launch and recovery systems for the US Navy. It also operates the DIII-D national fusion facility, works on nuclear fuels and reactors, and hires engineers, sensor operators, logistics and finance staff, mostly in Poway and San Diego.
Backed by FACIT
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

Under general supervision, this position is responsible for supporting research, product development, and sales efforts with insights gained from analyzing potentially large, unstructured complex datasets. Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Assignments are normally accompanied by general instructions and suggestions, outlining possible approaches, sources or information, and potential problems to be encountered with work reviewed regularly for soundness of technical judgment, overall adequacy and accuracy. Tasks involve the exercise of independent judgment and discretion about matters of significance.

DUTIES AND RESPONSIBILITIES:

  • Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse ‘big data’ sources to generate actionable insights and solutions for client services and product enhancement.
  • Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
  • Communicate insights and findings from analysis and experiments to product, service, and business managers. Recommend solutions to moderately complex technical and procedure issues.
  • Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
  • May identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action.
  • Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
  • Interact with product and service teams to identify questions and issues for data analysis and experiments.
  • Document findings and may make technical presentations to business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
  • Represents the organization as a contact with internal and external representatives.
  • Additional Functions: Perform other duties as assigned or required.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
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