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Supply Chain Data Scientist/Analyst
LOS ANGELES CA 90001
Category: Computing, Publishing
  • Your pay will be discussed at your interview

Job code: lhw-e0-81619781

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Apple

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  Job posted:   Sun Dec 10, 2017
  Distance to work:   ? miles
       
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Supply Chain Data Scientist/Analyst

# Supply Chain Data Scientist/Analyst


Job Number: 113316195

Santa Clara Valley, California, United States

Posted: 09-Dec-2017

Weekly Hours: 40.00


**Job Summary**

The AppleCare Demand Forecasting and Operations Research team is looking for a dynamic and motivated candidate for the position of Supply Chain Data Scientist/Analyst. This role is an opportunity for a self-driven individual to utilize their technical, analytical, and project management skills to deliver solid statistical forecasts, develop planning tools, improve data visibility and provide insightful analysis.


A Supply Chain Data Scientist will be equally comfortable working with cross-functional teams and using analytics to improve forecasting methods. They will also be required to analyze large amounts of data, identify significant trends, and adjust to meet an ever-evolving demand landscape.


The candidate will be able to effectively communicate data analysis and forecast impacts to a broad audience of AppleCare internal customers. The candidate will be a creative problem solver is who is passionate about building, maintaining, and driving innovative solutions to deliver outstanding customer service.



**Key Qualifications**

* Knowledge of SQL, VBA, SAS, and Python required

* Experience building and maintaining reports in Tableau preferred

* Experience in developing SQL database UI and database management a plus

* SAP APO and/or Demantra experience a plus

* Knowledge of the principles of statistics and experience performing statistical analysis in a business environment

* Extensive experience in analyzing large data sets and conducting ad hoc analysis

* Adept at merging data from a variety of sources in order to generate conclusions through analysis

* Aptitude for blending quantitative and qualitative data

* Experience in forecasting, supply chain planning and logistics a plus

* Experience in Service Operations a plus

* Proven ability to track and manage new and ongoing project activities

* Able to work efficiently under time constraints and effectively prioritize work

* Comfortable with making decisions in an ambiguous environment

* Proven process improvement skills with a natural curiosity and desire to understand how things work

* Excellent English communication skills - both verbal & written

* Independent self-starter who can manage multiple priorities in a fast-paced environment**Description**

oUnderstand service supply chain in order to develop, maintain and improve demand forecasting tools developed from VBA/SAS/Python/MySQL, that can perform in an ever-changing business landscape

oMaintain statistical forecasts in supply chain planning tools, such as SAP APO and Demantra

oWork very closely with Demand Planners with the purpose of sharing insights and making decisions on how to best to adjust forecasts

oSupport Channel Service Planning Supply Planners by providing short term part/ship to level forecasts for distribution of inventory

oWork with Apple Logistics teams in order to develop forecasts that support the transport of service parts around the world

oMaintain and develop new Tableau reports to drive metrics and forecast visibility

oEffectively and promptly communicate changes to model inputs and outputs that have significant relevance to business operations

oPerform ad-hoc statistical analysis to investigate forecast variances and propose forecasting solutions

oConduct requirements development and user acceptance testing for enhancements to enterprise tools/models

oServe as point-of-contact between business and IT for reporting and data systems issues

oDevelop and maintain process and technical documentation

oPlay a leadership role in the standardization of deliverables; ensure adherence to commitments



**Education**

Requires BS degree, 3-5 years in a service, manufacturing or logistics operation or equivalent.  MS/MBA or PhD in Supply Chain or Operations is a plus


**Additional Requirements**



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