
Supply Chain Data Scientist
Designs, develops, automates, and maintains Supply Chain productivity tools using programming, database or scripting languages to improve software modeling and development. Develops and maintains software management tools to support Supply Chain tracking, reporting, and delivery of both internally developed and externally purchased commercial-off-the-shelf (COTS) software products. Designs and implements build procedures that are used to support Supply Chain tracking, reporting, and delivery. Trains Supply Chain Teams in the use of productivity tools. Develops software configuration standards and policies for enterprise-wide use. Performs configuration management to ensure new software product operating parameters are documented, comply with standards, and are logistically sustainable.
Hands-on experience with data analysis, statistical, and visualization packages.
Experienced with the application of statistics and data-mining in business environment (trend discovery and analysis, text mining, correlation and pattern discovery, etc.)
Knowledge of SAP ERP Systems, Applications and Processes and data constructs, as it applies to Procurement.
Experience with Python, Domino, APIs, and R programming language.
Sql
Python
Tableau
Time Management Skills
HANA Studio
Data modeling and reporting
Driven and self-motivated
Prioritizing skills
Adaptability
Problem-solving and resourcefulness
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Supply Chain Data Scientist in 4501 New York Ave, Arlington, TX 76018, USA is $82,932 - $106,846.
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Lockheed Martin Corporation is an American global aerospace, defense, security, and advanced technologies company with worldwide interests. It was formed by the merger of Lockheed Corporation with Martin Marietta in March 1995.

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