Na Ali'i Consulting & Sales, LLC.-posted 2 months ago
VA
501-1,000 employees

The Program Data Scientist will support the implementation of Power Platform solutions in support of the Acquisition Logistics (AL) Directorate of the Defense Threat Reduction Agency (DTRA). The focus will be on the use of Power Apps solutions to streamline the acquisition life cycle (development, pre-award and award activities), accelerate processes, reduce administrative burden, and enhance the overall end-user customer experience. The contractor shall work closely with the AL Chief, Acquisition Management, to understand results obtained during recent study and end-user feedback.

  • Identify technical solutions to resolve inefficiencies and non-compliance with standard DoD acquisition directives/instructions, statues, and processes.
  • Analyze current sources of acquisition-related data to identify stored content that can be pulled into Power Platform solutions or Python based visualizations.
  • Prepare a plan of actions and milestones (POA&M) outlining recommendations designed to expedite the transition to a more efficient and effective acquisition technical platform.
  • Provide recommendations to streamline the use of internal SharePoint data and convert to outward end-user-facing platforms.
  • Extract, transform, and load data from various locations using Pandas or equivalent tool.
  • Collaborate with cross-functional teams, including Acquisition Subject Matter Experts (SMEs) and DTRA Program Managers, to define and document current metadata structures supporting acquisition workflows.
  • Lead development efforts that support advanced data visualizations and analytics in Power Platforms and Python based visualizations to support data-driven decision-making for DTRA AL and required Directorate senior leadership.
  • Lead team workshops to explain data mining, data analysis and visualization, data structures, and data manipulation with the goal toward the development and deployment of interactive dashboards.
  • Identify and recommend 'quick wins' throughout program execution for rapid implementation.
  • Prioritize recommendations that directly enhance customer experience and satisfaction with acquisition services.
  • Support the government in analyzing new acquisition policy from the DoD level and provide recommendations to help DTRA standardize the implementation of new policy.
  • Assist the government in assessing acquisition policies and processes with a focus on identifying opportunities to accelerate the implementation of structural changes that streamline acquisition development, pre-award and award activities and processes, reduce burden on directorates, and enhance customer experience.
  • Demonstrated experience with Python, Pandas, and Jupyter Notebook.
  • Demonstrated experience with NLP, document processing, ETL, and data storage such as Elastic Search.
  • Experience building Generative AI applications, document partitioning, and vector databases.
  • Experience with NVIDIA Inference Models (NIM), LLMs, Docker, and Cuda.
  • Experience with data visualization tools such as Kibana, Flourish, or Streamlit.
  • Skills to manage complex projects, keep track of, or adjust, existing tasks while identifying new tasks and expectations as projects evolve.
  • Ability to perform detailed work with little guidance and interact in a positive manner with other government and industry personnel.
  • Ability to work under pressure and to adapt quickly in a changing environment and synthesize information and draft summaries and reports.
  • Proficiency with MS Office applications (e.g., Word, PowerPoint, Excel, and Project).
  • Master’s degree in a relevant field desired.
  • Experience working with and briefing senior level DoD personnel; excellent verbal and written communication and organizational and interpersonal skills.
  • Experience working in a time-sensitive environment with a high-level of accountability.
  • Must possess an active Secret security clearance and be eligible for immediate SCI nomination and indoctrination.
  • Must be a U.S. Citizen.
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