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 Data Scientist - Media Technologies - 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 - Software Engineer
 
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: 200202797 / Latpro-3779804 
Date posted: Mar-19-2021
State, Zip: California, 95014

Description

Data Scientist - Media Technologies

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Oct 28, 2020

Weekly Hours: 40

Role Number: 200202797

Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally?!! Our team powers the streaming media experiences on all of Apple's platforms (iPhones/iPads, Apple TV, Apple Watch and macOS) by building on core technologies and frameworks such as Core Media and AVFoundation. You will partner with Big Data Engineers, Software Engineers and other Data Scientist to use data to drive performance, bring new features and overall help develop the best Audio / Video experience for our users.

Key Qualifications

  • Experience articulating and translating questions and using statistical techniques to arrive at an answer using available data.
  • Data-querying skills (SQL and/or Spark, etc.)
  • Experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
  • Expertise with statistical data analysis, multivariate analysis AB teting & sampling methods
  • Strong communication and collaboration skills
  • Self-motivated and curious with proven critical thinking capabilities and an ability to work with ambiguity.

Description

As a data scientist you will evaluate and help to improve Media Technology frameworks! You will collaborate with a team of engineers and cross-functional product leaders to bring analytics rigor and statistical methods to ensure phenomenal product quality and amazing user experience.

Education & Experience

BS or MS in a quantitative field (Statistics, Operational Research, Bioinformatics, Economics, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field) or equivalent practical experience.

Additional Requirements

  • Nice to have but not required:
  • Understanding of Machine Learning algorithms, including regression, clustering, classification and neural networks
  • Software development experience in C, C++, ObjC or Swift





Requirements

See job description

 

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