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 Sr. Data Scientist, Product Quality, Human Evaluations - Apple Media Products - San Diego, 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: 200206404 / Latpro-3762335 
Date posted: Nov-17-2020
State, Zip: California, 92101


Sr. Data Scientist, Product Quality, Human Evaluations - Apple Media Products

San Diego , California , United States

Software and Services


Posted: Nov 16, 2020

Role Number: 200206404

Are you passionate about analyzing data patterns for large scale search engines? The Apple Media Products (AMP) 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. As a Sr Data Scientist you will be a product specialist and analyze a diverse portfolio of AMP human evaluations tasks. We represent user's perspective as we vet new features being introduced to AMP. Our day-to-day responsibilities will include analyzing and crafting innovative ideas to help improve AMP search and recommendations features, and reporting detailed issues to leadership, engineering, and product teams. If you have deep understanding of software development for machine-learned products and services, and how analytics and human evaluation data can help improve those products, this is the role for you! On this team you will work with leadership to build a strategy that allows us to use our data to build automatic feedback loops that improves AMP products. Here we own and promote best practices for product analysis, measurement, and instrumentation. Lead human evaluation design and management exercises.

Key Qualifications

  • At least 5 years proven experience in related field.
  • 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.
  • Ability to lead complex relationships across multiple functions and establish positive relationships. 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 proven creative and critical thinking capabilities.
  • Innate capability to, directly and indirectly, lead large teams for success.


- 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 - Foster an industry-leading privacy-focused strategy for product measurement, evaluation, and analytics for Apple Music - Evaluate and improve the quality of KPIs for key products by analyzing customer pain points. Empower others to understand and leverage 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 - Keep teams focused on the right priorities to meet deadlines; clearly, communicate project progress to leads and executive team. As a Sr Data Scientist will also mentor other Data Scientists, and help them to develop their projects

Education & Experience

Masters or PhD with 4+ years of experience, with a focus in quantitative field such as Statistics, Operational Research, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field. Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit to learn more. If you do not consent to Apple storing your information in our system for Recruiting purposes, please reply to this email requesting deletion. For more information on Apple's privacy policy please visit


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