AI/ML - Data Scientist, Siri Data
Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI
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 Summary
Posted: Jan 15, 2021
Role Number:200216784
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization the mission of the Search Analytics team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
 
Key Qualifications
Key Qualifications
  * Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
  * Expertise with statistical data analysis such as linear models, multivariate analysis, sampling methods, survey designs, causal inference.
  * Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.
  * Data-querying skills (SQL and/or Spark, etc.)
  * Experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
 
Description
Description
The goal of the Siri Search team is to take Siri search to the next level of intelligence and accuracy using advanced statistical techniques. The Data Scientist role in this team has a spectrum of approaches to improving Siri search, including Work with large, complex data sets. Solve analysis problems, applying advanced analytical methods as needed. Build and prototype analysis pipelines iteratively to provide insights at scale. Work closely with Engineers to find opportunities for, design, and assess improvements of Siri Search products
 
Education & Experience
Education & Experience
An academic background is in quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field. Prefer advanced degree + 2 years of relevant industry experience.
 
Additional Requirements
Additional Requirements
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See all roles in Santa Clara Valley (Cupertino)
Cupertino, CA
Apple Inc. designs, manufactures, and markets mobile communication and media devices, and personal computers. It also sells various related software, services, accessories, and third-party digital content and applications. The company offers iPhone, a line of smartphones; iPad, a line of multi-purpose tablets; and Mac, a line of desktop and portable personal computers, as well as iOS, macOS, watchOS, and tvOS operating systems.
It also provides iTunes Store, an app store that allows customers to purchase and download, or stream music and TV shows; rent or purchase movies; and download free podcasts, as well as iCloud, a cloud service, which stores music, photos, contacts, calendars, mail, documents, and others. In addition, the company offers AppleCare support services; Apple Pay, a cashless payment service; Apple TV that connects to consumers’ TVs and enables them to access digital content directly for streaming video, playing music and games, and viewing photos; and Apple Watch, a personal electronic device, as well as AirPods, Beats products, HomePod, iPod touch, and other Apple-branded and third-party accessories.
The company serves consumers, and small and mid-sized businesses; and education, enterprise, and government customers worldwide. It sells and delivers digital content and applications through the iTunes Store, App Store, Mac App Store, TV App Store, Book Store, and Apple Music. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1977 and is headquartered in Cupertino, California.