Machine Learning & Data Scientist, OS Power & Performance

Apple is seeking a Machine Learning & Data Scientist to join their Software and Services team, focusing on OS Power & Performance analysis. This role combines data science expertise with software engineering to improve product performance that impacts hundreds of millions of users.

The position requires a strong foundation in statistical analysis, machine learning, and software engineering. You'll be working with high-dimensional data to derive meaningful insights that influence decisions across Apple's broad range of products. The role involves developing data products, metrics, models, and simulations to improve Apple's software & hardware performance.

As a Machine Learning & Data Scientist, you'll be responsible for transforming raw data into actionable insights through ETL processes using technologies like Python & Spark, and creating data visualizations. The role requires both technical expertise and business acumen, as you'll need to communicate findings effectively to stakeholders and understand the broader business context of your work.

The ideal candidate should have an advanced degree in a quantitative field, experience with distributed computing technologies, and working knowledge of Operating Systems. You'll be part of a collaborative environment where you'll influence decisions across Apple's product lineup while working with diverse stakeholders.

This role offers competitive compensation, comprehensive benefits, and the opportunity to work on products that impact millions of users. You'll have access to Apple's employee stock programs, health benefits, education reimbursement, and various other perks that come with working at one of the world's leading technology companies.