Job Details

Weekly Hours: 40

Role Number: 200627262-0836

Summary

Apple is where individual creativities 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. Are you passionate about driving product impact through data, measurement, and rigorous evaluation—at a scale that reaches hundreds of millions of users worldwide?

The AMT Streaming Media Ecosystem team powers the streaming experiences across Apple’s platforms—including iPhone, iPad, Apple TV, Apple Watch, macOS, and third-party devices—by building on foundational technologies such as Core Media and AVFoundation. As a Data Scientist on this team, you will collaborate with Big Data Engineers, Software Engineers, and fellow Data Scientists to leverage data for performance insights, shape new features, and help deliver the best audio and video experiences to Apple users around the world.

Description

As a Data Scientist, you will play a key role in evaluating and advancing Streaming Media technologies. You will partner closely with engineers and multi-functional product leaders to apply analytics rigor, statistical methods, and innovative ML/AI techniques to drive product quality and deliver exceptional user experiences. Your work will shape how streaming frameworks are measured, monitored, and improved at scale.

Minimum Qualifications

• Proven track record to frame analytical questions, apply appropriate statistical techniques, and derive actionable insights from complex datasets.

• Proficiency in data querying using SQL, Spark, or equivalent technologies.

• Strong experience with a scripting language for data processing and analysis (e.g., Python, R, or Scala).

• Deep expertise in machine learning, statistical analysis, multivariate methods, A/B testing, and sampling techniques.

• Excellent communication and multi-functional collaboration skills, with the ability to convey complex concepts to diverse audiences.

• Self-motivated, intellectually curious, and adept at critical thinking, with a demonstrated ability to thrive in ambiguous problem spaces.

Preferred Qualifications

• Experience designing and building scalable data systems and pipelines to support complex, large-scale analytics initiatives.

• Software development experience in C, C++, Objective-C, or Swift, able to collaborate effectively with engineering teams and contribute to production-grade systems.

• Master’s degree in a quantitative or technical field such as Statistics, Computer Science, Engineering, Mathematics, or a related discipline.

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 $121,300 and $213,700, 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 about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

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 seek to promote 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) .