Audio Business Data Science Manager - Culver City

Culver City, California, United States
Software and Services


Role Number:200276104
At Apple, great ideas have a way of becoming great products, services, and customer experiences. If you are a self-motivated, high-energy individual who is not afraid of challenges, we're looking for you. Apple is seeking an Audio Business Data Science Manager to join a team passionate about Apple’s audio services as a part of the Apple Media Products (AMP) Data Science & Analytics organization. This role provides the opportunity to work with Apple’s Audio services covering Apple Music, Apple Podcasts, iTunes Music, and Beats by Dre. A successful candidate will help drive growth across these services and headphones businesses by using data science and analytic insights to evolve our 1st party services and audio platform. Specifically, this role will help manage the health of the businesses and grow our consumer base by evaluating various initiatives plus partnering with business, finance, product and R&D teams on strategic opportunities. The team's culture centers around rapid iteration with open feedback and debate along the way, plus strong collaboration with business, product, and engineering partners. We encourage independent decision-making and taking smart risks. As an organization, AMP Data Science & Analytics collaborates with executives and various stakeholders across business, product, design, engineering, and marketing teams. Our mission is to drive innovation at Apple through in-depth quantitive research of the App Store, Apple Music, Apple TV, Apple Fitness, Apple One, and other services.

Key Qualifications

  • 4+ years of experience in managing data science, analytics, or data operations teams - preferably in the digital streaming, music, subscriptions, distribution, marketing, and/or consumer products businesses
  • 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
  • Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
  • Mastery in SQL-based languages, and proficiency in at least one large-scale data languages such as Scala or PySpark
  • Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
  • Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytic teams
  • Proven ability to collaborate with executive-level stakeholders, peers, and individual contributors across a range of functions


Establish a center of excellence for the Audio Business Data Science team by uncovering business-actionable insights in collaboration with the Apple Music, Podcasts, and Beats teams Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives Establish, enhance, and socialize top line and operational metrics that accurately represent the business state of health Lead proactive analyses that identify key drivers of business health metrics, and make recommendations that optimize overall business performance Drive the develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower Audio business stakeholders Draft schema and instrumentation requirements to enrich core datasets for new business features and Audio product launches Measure the impact of growth initiatives for the Apple Music subscription business by maximizing user acquisition, conversion, and retention though improved user experience, marketing offers, and business development partnerships Expand the recently-launched Podcasts subscriptions platform by identifying successful monetization initiatives that grow both content creators and consumers Establish top line metrics for the Beats consumer products business including understanding and leveraging relationships among sales, price, distribution, and media marketing Develop, recruit, and train a diverse team of high-performing data scientists focused on uncovering insights from large-scale data across the audio businesses

Education & Experience

- Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field - Masters in a related field preferred

Additional Requirements