Agile Decision Sciences (ADS), a wholly owned subsidiary of ASRC Federal is seeking a Junior Logistician to join our team supporting the US Coast Guard's Aviation Logistics Center.
Logistics is the key to keeping the USCG's aircraft fleet operational and ready for the challenge.
If you want to grow your skills in planning, modeling, forecasting and applying supply chain concepts, join a mission that keeps our country safe, apply today.
Responsibilities:
* Evaluating the entire life cycle of a product, but primarily focused on the following elements:
* provisioning
* internal allocation (sparing quantity and locations)
* demand forecasting
* supply planning
* final disposal (identifying obsolescence)
* Formulate, plan, & execute supply optimization using mathematical models, planning software, recurring reports, and visualization that provide management the ability to improve operational readiness and asset availability.
* Draft business case analysis with stated forecasting variables and sensitivity analysis to provide different courses of actions for mission support and sustainment decisions.
* Develop a working knowledge of modeling and forecasting methodologies, software and programming languages used in the industry.
* Will learn how to develop project timelines, monitor work completion, and drafting effective communication.
ASRC Federal provides an excellent salary and benefits package complimented by a culture that fosters professional development.
If you have SAS training/experience or other tools such as Python or R, apply today and let's talk about next steps.
Education/Experience:
* BA/BS in one of the following: Supply Chain, Logistics, Industrial Engineering, Business, Engineering, or Information Systems Management OR
* BA/BS degree in any field with 2 years of current logistics experience OR 4 years of logistics experience and an Associate's degree or HS Diploma.
* Internship or classroom training with the life cycle of a product (aircraft product desired)
* Experience or classroom training with provisioning, internal allocation, distribution and delivery.
* Experience or classroom training with statistical analysis or modeling.
* Experience with statistical analysis tools or programming languages such as SAS strongly preferred; SPSS, Python or R is a plus.
* Any experience in formulating, planning and executing supply optimization using mathematical models is a plus.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
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