Data Scientist
Apple Inc
Chengdú, Sichuan, China
6天前

Job Summary

Great battery life and device performance are critical for Apple products. Would you like to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users?

Does the idea of developing software to analyze battery life and system performance excite you? If this describes you, we would love to hear from you!

Key Qualifications

  • Strong statistical analysis skills
  • Experience with data mining, analysis and visualization
  • Strong coding skills and software development experience
  • Strong analytical thinking to solve challenging problems
  • Self-motivated and able to work independently
  • Excellent spoken and written communication skills
  • Description

    We're looking for a motivated and agile data scientist with excellent data mining, software development, problem solving and communication skills.

    In this role, you will be working on quantitative analysis of high dimensional data to derive meaningful insights to improve battery life and device performance.

    You will also be developing software and big data infrastructure for streamlined analysis of large datasets. To be successful in this role, you must have a solid foundation in statistical analysis and the ability to apply it to real world problems to draw sound conclusions.

    You must also have a solid software engineering background and be able to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to numerous teams across Apple on a broad range of products.

    Education

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or equivalent
  • Additional Requirements

    Preferred skills and experience :

  • Experience with statistical packages in R, Python or MATLAB
  • Experience with programming languages like C, C++ or Java
  • Proficiency in MapReduce technologies such as Hadoop, Hive and Pig
  • Strong system level understanding
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