
Senior Supply Chain Data Scientist - Clearance Desired
Logistics Management Institute
- Dayton, OH
- $100,000-155,000 per year
- Permanent
- Full-time
- Examine new initiatives and existing processes for opportunities and propose enhanced tools, policies, and procedures.
- Be able to perform or support Readiness-Based Spares modeling on an as needed basis.
- Able to identify and discern problem areas and provide solutions to the client on a recurring basis.
- Be able to articulate technical concepts to non-technical audiences on a recurring basis.
- Identify solutions and provide recommendations on government proposed new capabilities and assist in the transition to other supply systems as necessary.
- Participate in working groups and process improvement teams.
- Develop tools, policies, and procedures to provide the capabilities required for AFSC’s enterprise-level management of the supply chain.
- Develop procedures and supporting tools for assessing the availability impact of limited funding and executing procurement and repair with limited funding.
- Recommend changes and any corrections to regulations, programs, procedures, processes, and testing to prevent recurrence of data quality problems.
- Support projects analyzing existing system-support supply chains (including, inventory management, maintenance, and distribution) in government organizations like the United States Air Force.
- Support projects that re-design or enhance system-support via supply chains.
- Bachelors degree in Mathematics, Industrial Engineering, Operations Research, Supply Chain Management, or a related degree
- Minimum of 10 years of DoD Supply Chain Analytics or Logistics Engineering experience
- Extensive knowledge of USAF modeling, analytics, and spares systems (D200A/ESCAPE/WSMIS/SAM/D035)
- Expert knowledge in computing Fleet Availabilities including Redundancy and Spares
- Familiarity with advanced analytic techniques to include ML algorithms such as Neural Nets
- Ability to acquire a US government clearance (Secret or higher) required. Must be a US citizen.
- Masters degree in Mathematics, Industrial Engineering, Operations Research, Supply Chain Management, or a related degree
- Minimum of 15 years of DoD Supply Chain Analytics or Logistics Engineering experience
- Familiarity with FORTRAN, VBA, MS Office Tools, R, Python, Tableau, PowerBI, SAS
- Current or ability to acquire a Top Secret US government clearance