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iOS/OS X Data Scientist

Posted on Nov 11, 2018 by Apple

Cupertino, CA 95014
Call Center & Customer Service
Immediate Start
Annual Salary
Full-Time

iOS/OS X Data Scientist

Santa Clara Valley (Cupertino), California, United States

Software and Services

Summary

Posted: Nov 7, 2018

Weekly Hours: 40

Role Number:

The iOS/OS X Data Analysis team analyzes and produces insights from diagnostic and usage data from iPhone, iPad, Apple Watch, and Macintosh systems. Our data is used to improve Apple products and services, to inform the strategic direction of our products, and to improve the user experience. We use the latest Big Data technologies to tackle complex, large-scale problems using immense quantities of collected data. If you are a hands on Data Scientist with deep statistical understanding and data handling skills we want to talk to you.

Key Qualifications

  • Advanced statistics, modeling, and data visualization knowledge
  • Strong data visualization skills
  • Substantial data analysis experience working with large-scale data
  • Ability to learn new technologies and to quickly grasp complex problems
  • Significant experience using relational databases, MySQL preferred
  • Excellent written and verbal communication skills
  • Strong scripting language skills (e.g. R, Python)
  • Experience working with Hadoop Map/Reduce
  • Experience using R or other statistics packages

Description

You will work across groups in software engineering, hardware, and marketing to understand data analysis needs. Using your deep knowledge of data extraction and manipulation tools you will produce reports and visualizations of critical hardware and software phenomena. With the knowledge accumulated you will create models and validate hypotheses on the uses of our software and devices.

Education & Experience

Masters degree or better in Statistics, Computer Science, or other relevant technical field, or equivalent experience

Additional Requirements

  • Desired skills:
  • Experience working with Hadoop Map/Reduce
  • Experience using R or other statistics packages



See job description

Reference: 569309903