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Apple: Senior Data Scientist, Retail – Online


Design, develop, and field analyses that have direct and measurable impact to the management of the Apple Online and Retail Stores.



Apple Company: Apple
Location: Cupertino, CA
Web: www.apple.com


Apple Retail - Online sells Apple products to customers around the world. In addition to selling Apple products with unique services such as iPad engraving and Mac customization, we also provide a curated selection of third-party accessories. Apple Retail - Online operates worldwide, with a strong presence in Europe, Asia and The Americas.

We are seeking a Senior Data Scientist to design, develop, and field analyses that have direct and measurable impact to the management of the Apple Online and Retail Stores.

Key Qualifications:

Required Skills
  • you are a seasoned analytics professional with 5+ years of experience and the ability to drive analytical projects from inception to completion.
  • you have strong working knowledge of generic suite of machine learning algorithms - such as SVM, Boosted trees, Neural nets, SOM, Factor Analysis.
  • you have excellent programming skills in one of these languages - R, Java, C++, Python, or Perl.
  • have working knowledge of database structures and data warehousing principles and have a journeyman or better experience in SQL with the ability to ETL both structured and unstructured data from various sources; experience with Teradata highly preferred.
  • have working knowledge of applied econometric procedures.
  • have working knowledge of SAS - Enterprise Guide/Miner.
  • experience with one or more of the following is desirable:
    • Hadoop, Hive, NoSQL, Spark, Hive, Mahout, Impala, Pig, Cascading, Theano
    • Data Visualization with Tableau

     

 
To be successful in this position, you should ...
  • have a strong passion for answering hard questions with data and have demonstrated the ability to conceptualize, promote and implement new ideas for the business.
  • be a self-starter, driven and accountable.
  • revel in the complex, but seek to simplify and clarify it in your analysis and communications.
  • hold an advanced degree in computer science, applied social science, applied mathematics with a focus on data mining/machine learning. Statistics, physics, operations research or related field are also acceptable. Phd is desirable.
  • have strong writing, data visualization and communication skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.

 
Description:
The ideal candidate is a self-starter with wide range of technical skills, and is highly proficient in turning data discoveries into analytical insights. The primary responsibility as a member of Data Science team is developing novel ways of integrating disparate data sources and building multi-modal on-going learning environment.

In addition, the person would be responsible for regular deep topical analysis on a broad range of strategic and tactical questions related to customer relationship management.

Education:
  • An advanced degree in computer science, applied social science, applied mathematics with a focus on data mining/machine learning.
  • Statistics, physics, operations research or related field are also acceptable.
  • PhD is desirable.

 
_Contact_:
This job is closed. Req 37005525.

Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

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