Data Scientist/Engineer - Clearance Required

Location: Fort Belvoir, VA 22060

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LMI is seeking a data engineer-scientist to support the Army G-46 Logistics Enterprise Support Agency (LESA) responsible for developing strategic assessments, plans, and policies for logistics operations impacting DoD and Army priorities of readiness. The data engineer must possess superior quantitative and analytical skills, be highly adaptive, capable of canvassing databases and consolidate information from numerous sources into a single database or spreadsheet, and manipulate the data to analyze the performance of the supply chain and support course of action development. The candidate should also be familiar with the Army Vantage platform to facilitate the implementation of Logistics Domain Objects. The Army Vantage Data Integration and Analytic platform will be primary development and application environment, although other tools such as SQL and MS Excel can be part of solution. The individual must be able to work autonomously, set high standards for personal performance, have strong organizational skills, be detail oriented, and able to work with minimal guidance.

Work Location:
Telework is acceptable under current government directed COVID measures. Upon amendment of those measures, liberal telework will be acceptable with occasional requirements to visit G-46 LESA offices at Fort Belvoir, Virginia; Pentagon; and/or New Cumberland, Pennsylvania.
  • Provides data analytics support to develop models and reports that support G-4 logistics policy, programming, and planning decisions, and logistics enterprise performance management. Examples of areas to provide analytics support include development of Depot Maintenance requirements, Repair Cycle Float quantities, Organization Industrial Base (OIB) performance metrics, Equipment Life Cycle performance/costs for SPAR recommendations, Supply chain visibility/performance monitoring, and asset allocation.
  • Support development of data models for new decision support requirements, as well as enhancement of existing models. This includes identifying and assessing data quality issues and implementing data cleansing routines to improve model and report outputs.
  • Support G-46 LESA in the verification of logic implemented to build Logistics Domain Objects (e.g. Work Orders, Purchase Request, Assets on Hand) that are available for Enterprise Wide analytics in Vantage.
  • Conduct daily systematic and scientific qualitative and quantitative analysis of logistics performance metrics ranging from requirements and on-hand availability to customer wait time (CWT), backorders, fill rates, equipment readiness, and excess material to inform recommendations to senior leaders on process improvement, investment decisions, and maximizing performance of the logistics enterprise while achieving efficiencies.
  • Analyze logistics challenges impacting Army commands by driving efforts across the Army sustainment enterprise using Army enterprise logistics systems including but not limited to Global Combat Support System-Army (GCSS-Army), Logistics Modernization Program (LMP), Army Enterprise Systems Integration Program (AESIP) Hub and associated Master Data, and Army Vantage.
  • Work with a logistics subject matter expert/requirements analyst to deliver business intelligence outputs.
  • Active DoD Secret clearance required.
  • Bachelor’s degree with 8+ years of experience preferred. Degree in supply chain, engineering, economics, operations research, mathematics, or a related discipline preferred.
  • Superior quantitative skills, including the ability to use spreadsheet, databases, and manipulate the data to analyze courses of action or demonstrate supply chain performance.
  • Individual should have expertise needed to apply Vantage analytic tools such as Contour, Reports, and Monocle, and data programming languages supported in Vantage such as SQL and Python.
  • Familiarity with logistics systems of record such as GCSS-Army, LMP, and AESIP Hub.
  • Familiarity with the Army Vantage platform, Advana and other business intelligence software platforms. Proficient in SQL, and Python knowledge preferred.
  • Proficiency with Microsoft Office suite of tools (Excel (advanced), Access, Word and PowerPoint).
  • Ability to work in a team-based environment with minimal supervision and direction. Adaptable to flexible work styles, environments, and locations.
  • Must be self-directed, detail oriented, and resourceful in completing assigned tasks and projects within assigned deadlines. Excellent problem-solving skills.
  • Excellent customer relationship management skills. Strong interpersonal, listening, and questioning skills able to interact effectively with senior Army Staff clients on a daily basis.
  • Strong written communication skills, including ability to write, edit and proofread a variety of presentations, position papers and memoranda.
Desired Experience/Skills:
  • Knowledge of policies and procedures governing DoD or Army logistics.
  • Experience with tools and methods for project management, data analysis, and business analysis.

*** Mention DataYoshi when applying ***

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