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Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services

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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 i Phone, i Pad, 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.","responsibilities":"Collaborate closely with multi-functional teams to uncover data-driven insights and design new telemetry that measures both user experience and software performance.

Develop innovative analytics methods to translate user experience challenges into actionable software development opportunities.

Build robust internal tools and data pipelines to enable continuous monitoring of key metrics and KPIs across multiple applications and services.

Partner with engineering teams to gain deep understanding of software systems and design analytics frameworks for new products and features.

Leverage and innovate with Machine Learning and Generative AI technologies to enhance analytics capabilities, automate insights, and unlock new ways of understanding complex systems.

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.

Minimum Qualifications

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

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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.

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 .

Client-provided location(s): Cupertino, CA

Job ID: apple-200632724-0836_rxr-660

Employment Type: OTHER

Posted: 2026-01-16T19:23:58
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Perks and Benefits

Health and Wellness

Parental Benefits

Work Flexibility

Office Life and Perks

Vacation and Time Off

Financial and Retirement

Professional Development

Diversity and Inclusion

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