Apple is looking to drive product impact through data, measurement, and rigorous evaluation at a scale that reaches hundreds of millions of users worldwide, specifically in the Streaming Media Ecosystem team
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
- 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
- Proficiency in Core Media and AVFoundation
Responsibilities
- 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
- apply analytics rigor, statistical methods, and innovative machine learning (ML) and artificial intelligence (AI) techniques to drive product quality and deliver exceptional user experiences
- evaluate and advance Streaming Media technologies
- partner closely with engineers and multi-functional product leaders to apply analytics rigor, statistical methods, and innovative machine learning (ML) and artificial intelligence (AI) techniques to drive product quality and deliver exceptional user experiences
- shape how streaming frameworks are measured, monitored, and improved at scale
- leverage data for performance insights, shape new features, and help deliver the best audio and video experiences to Apple users around the world
- contribute to production-grade systems
Other
- 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
- Masters degree in a quantitative or technical field such as Statistics, Computer Science, Engineering, Mathematics, or a related discipline
- Equal Employment Opportunity: Apple is an equal-opportunity employer that is committed to inclusion and diversity
- Weekly Hours: 40
