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 Product Quality Lead, Sr. Data Scientist - Seattle, Washington, 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: 200268855 / Latpro-3806918 
Date posted: Jul-20-2021
State, Zip: Washington, 98199

Description

Product Quality Lead, Sr. Data Scientist

Seattle , Washington , United States

Software and Services

Summary

Posted: Jul 20, 2021

Role Number: 200268855

The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. Are you passionate about analyzing data patterns for large scale search engines? Our team provides insights through data that drive decision making for our engineering and product teams. As part of AMP, you will be a product specialist and analyze of a diverse portfolio of Apple Media Product human evaluations tasks. The team represents the user's perspective as they vet new features being introduced to AMP. Your day-to-day responsibilities will include analyzing and creating innovative ideas to help improve AMP search and recommendations features, and reporting detailed issues to leadership, engineering, and product groups.

Key Qualifications

  • Experience working with systems and products that are powered by machine-learned models and an understanding of natural language or speech-enabled products
  • A demonstrated passion for data analysis, data-informed product innovation, building and shaping data culture
  • Proven experience with at least one data-querying language (SQL and/or Spark, etc.) as well as with a scripting language for data processing and development (e.g., Python, R, or Scala)
  • You use good judgment balancing art and science when visually presenting information (e.g. Tableau, Superset, ggplot, D3).
  • Capable of driving projects of varying sizes and scopes - some will take months and some weeks - and you will need to know when to dive deep
  • Deep understanding of the software development for machine-learned products and services, and how analytics and human evaluation data can help improve those products
  • Ability to manage complex relationships across multiple functions and establish strong partnerships. Outstanding communication and presentation skills, written and verbal, to all levels of an organization
  • Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data
  • Good product sense, with the ability to translate between product goals, business goals and technical requirements for data analytics
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
  • Innate capability to, directly and indirectly, lead large teams for success

Description

Lead the product vision and project execution for offline evaluations for Apple Music through Search, Recommendations, and Siri Partner with Product teams to define KPIs and build dashboards to monitor the performance of our AMP products. Define the instrumentation required for yielding sufficient data. Champion an industry-leading privacy-focused strategy for product measurement, evaluation, and analytics for Apple Music Own and evangelize standard methodologies for product analysis, measurement, and instrumentation. Lead human evaluation design and management exercises Evaluate and improve the quality of critical metrics for key products by analyzing customer pain points. Empower others to understand and use data for decision making Ensure the measurement of new features are designed and instrumented in every release cycle. Productize dashboards that help product teams to improve Search & Recommendations every day Work with leadership to build a strategy that allows us to demonstrate our data to create automatic feedback loops that improve the AMP products Keep teams passionate about the right priorities to meet ambitious deadlines; clearly, communicate project progress to leads and executive team The Sr Data Scientist will also mentor other Data Scientists, and help them to develop their projects.

Education & Experience

BS in Computer Science, Statistics or similar. M.S. preferred



Requirements

See job description

 

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