Data Scientist

LeidosHampton, VA
$107,900 - $195,050Onsite

About The Position

Leidos is seeking a mission-driven Sr. Data Scientist to support cutting-edge intelligence work at Joint Base Langley–Eustis in Hampton, VA. In this role, you will provide technical and analytical support, information, and recommendations for data collection, algorithm development, processing, design, and exploitation for the operations of ACC A2 Staff tasks and projects. You will bring impactful, real-world solutions to the Air Force intelligence community. Funding is expected to begin mid-September.

Requirements

  • Current TS/SCI security clearance
  • Master’s degree with 10+ years of relevant experience, or a Bachelor’s degree with 15+ years of relevant experience. Additional experience may be considered in lieu of a degree.
  • Relevant experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering
  • Experienced in extracting and analyzing data from COTS products
  • Working knowledge in programming languages such as Python, R
  • Knowledgeable of machine learning toolkits
  • Excellent problem solving and analytic skills associated with working on unstructured datasets
  • Experience with a focus on multiple domains of intelligence or all-source intelligence
  • Well-developed organizational and time management skills
  • Strong written and oral communication skills, including ability to communicate detailed technical information to peers and non-technical management staff as needed
  • Proficient in Microsoft Office with the ability to edit, standardize, and revise materials prepared by other writers and illustrators.

Responsibilities

  • Design, develop, train, and deploy custom Machine Learning (ML) models and Artificial Intelligence (AI) algorithms to solve specific operational intelligence challenges.
  • Continuously monitor, test, and refine deployed models to ensure accuracy, reduce algorithmic bias, and mitigate hallucinations.
  • Develop and deliver specialized, hands-on training on the practical application of AI/ML frameworks, including those unique to AFSCI.
  • Serve as an embedded technical mentor, providing "over-the-shoulder" support to train intelligence analysts on how to interpret AI-generated outputs, engineer effective prompts, and transition legacy analog workflows into modernized, AI-assisted processes.
  • Support data modeling builds, data coalescence, and data element aggregation.
  • Utilize statistics, data mining, and predictive analytics to manage large amounts of data, merge data sources, ensure consistency of datasets, create data visualizations, and build mathematical models and present findings.
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