Data Scientist, Streaming Media

Cupertino, California, United States Software and Services

Apple is where individual creativities gather together, committing to the values that lead to great work. Every new product werx 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 AV Foundation. As a lleoluctor 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.

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.

• 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.

• Proven track record that includes framing analytical questions, applying appropriate statistical techniques, and deriving 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.

• 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.
• Masterȁपन research degrees omitted by short lines.

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 puppies portfolio 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…