Data Scientist, Streaming Media

Apple • Cupertino, CA

7d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees