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  • Conduct operations research, predictive/prescriptive analytics and Artificial Intelligence/Machine Learning (AI/ML) studies.
  • Identify specific concepts and develop procedures for investigating problems of a significant nature, which may be broadly stated or ill-defined.
  • Prepare study plans which define study efforts by providing the background, description, approach, project milestones, resource requirements and costs for each study.
  • Identify sources of subject matter information, including specialized data. Perform quantitative, statistical analysis and operations research studies requiring the application of such techniques as mathematical modeling, linear and nonlinear programming, simulation, decision theory and machine learning theory.
  • Perform Artificial Intelligence/Machine Learning (AI/ML) activities including data identification, cleansing and preparation, algorithm development, statistical learning and validation of results.
  • Conduct, organize, direct and coordinate analytical studies in a primary business (e.g., procurement, finance, distribution, et al) area that often incorporate factors from other functional areas serve as a technical and operations research advisor to management officials and ACE teams, branch chiefs and other analysts.
  • Serve as a Contracting Officer's Representative (COR) on quantitative, machine learning and operations research contract study efforts administered by ACE, as required.
  • Develop applications, tools and processes for delivery of data solutions to the DLA business community. Typical outputs include business metrics, dashboards, interactive reports and tailored data packages.
  • Develop fact-based recommendations for senior leaders on matters of process, policy, investment and business strategy.
  • Typical outputs include project reports, white papers, spreadsheets, PowerPoint presentations, and oral presentations.