Sr. Data Scientist, Product Quality Lead – Apple Media Products

Apple
Apple

Job Overview

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 MusicOwn and evangelize standard methodologies for product analysis, measurement, and instrumentation. Lead human evaluation design and management exercisesEvaluate and improve the quality of critical metrics for key products by analyzing customer pain points. Empower others to understand and use data for decision makingEnsure the measurement of new features are designed and instrumented in every release cycle. Productize dashboards that help product teams to improve Search & Recommendations every dayWork with leadership to build a strategy that allows us to demonstrate our data to create automatic feedback loops that improve the AMP productsKeep teams passionate about the right priorities to meet ambitious deadlines; clearly, communicate project progress to leads and executive teamThe 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

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