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 Data Scientist, Software Engineering Data Analysis - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200230135 / Latpro-3778392 
Date posted: Mar-12-2021
State, Zip: California, 95014


Data Scientist, Software Engineering Data Analysis

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Mar 12, 2021

Weekly Hours: 40

Role Number: 200230135

At Apple, you'll accomplish truly great things. If you have a passion for developing insights from real world data, have phenomenal attention to detail, and are dedicated to improving customer experience, please join us! The SWE DA Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices every day from all over the world. The insights are used to improve Apple's products and services, to inform strategic directions, and to improve user experience. We are a high-pace and high-functioning team of Data Scientists that use the latest Big Data technologies to tackle complex, large-scale problems using immense quantities of collected data. We work collaboratively to make impact that changes people's lives, and we have fun while doing it!

Key Qualifications

  • Advanced statistics and modeling knowledge.
  • Strong data visualization skills (e.g., Tableau).
  • Great programming skills in Python.
  • Good experience with applying Big Data technologies (e.g., MapReduce, Hadoop, Spark) to large quantities of data.
  • Good Experience using relational databases and SQL.
  • Very strong communication skills; the ability to understand business requirements and naturally explain complex technical topics to everyone - from data scientists to engineers to product marketing partners to executives.
  • Excellent understanding of Machine Learning algorithms, including regression, clustering, classification, and other advanced analytic techniques.
  • Self-starter and ability to multitask.


You will work cross-functionally with partners in software engineering, hardware, and marketing. You will use your deep knowledge of data extraction, exploration, and analysis to produce reports and visualizations of critical hardware and software phenomena. With the knowledge accumulated, you will build models and validate hypotheses on the uses of our software and devices.

Education & Experience

Advanced degree in Statistics, Data Mining, Machine Learning, Analytics, Applied Math, Computer Science, Electrical Engineering, Physics, or related fields.


See job description


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