Data Scientist - Streaming Media Cupertino,California,United States Software and Services Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. 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 Audio & Media Technology team powers the streaming media experiences on all of Apple’s platforms (iPhones/iPads, Apple TV, Apple Watch and macOS) by building on core technologies and frameworks such as Core Media and AVFoundation. You will partner with Big Data Engineers, Software Engineers and other Data Scientist to use data to drive performance, bring new features and overall help develop the best Audio / Video experience for our users. **Description** As a Data Scientist you will evaluate and help improve Streaming Media frameworks like HLS and work to improve user-experience across your favorite streaming applications like AppleTV+, Apple Music, Netflix and more. You will collaborate with a team of engineers and cross-functional product leaders to bring analytics rigor, statistical methods and apply Machine Learning techniques to ensure great product quality and amazing user experience. **Minimum Qualifications** + Experience articulating and translating questions and using statistical techniques to arrive at an answer using available data. + Data-querying skills (SQL and/or Spark, etc.) + Experience with a scripting language for data processing and development (e.g., Python, R, or Scala) + Expertise with statistical data analysis, multivariate analysis AB testing & sampling methods + Experienced in designing, building and integrating machine learning models to products to enhance or create new user-experiences **Key Qualifications** **Preferred Qualifications** + Strong communication and collaboration skills + Self-motivated and curious with demonstrated critical thinking capabilities and an ability to work with ambiguity. + Deep understanding of ML models like Random Forests, Neural Networks etc + Software development experience in C, C++, ObjC or Swift **Education & Experience** **Additional Requirements** **Pay & Benefits** + At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $121,900 and $214,500, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. + Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.