The Media Graphics Compute Technologies group at Apple is seeking an experienced Data Scientist to join their Audio Technology team. This role focuses on developing and optimizing audio experiences across Apple's consumer electronics portfolio. The ideal candidate will analyze complex datasets to drive improvements in sound quality, noise cancellation, and voice recognition. The position involves collaborating with data scientists and engineers to translate telemetry insights into data-driven enhancements for device audio experiences.

• Bachelor's or Master's degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.
• 3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.
• Strong programming skills in Python for data analysis, scripting, and automation.
• Advanced SQL skills for querying and analyzing large-scale datasets.
• Experience building or maintaining data pipelines and ETL/ELT workflows.
• Experience working with large-scale or distributed data processing frameworks such as Apache Spark.
• Solid understanding of data modeling, data quality, and analytical dataset development.
• Proven work experience with applying statistical analysis or machine learning techniques to behavioral datasets.

• Analyze large-scale audio session and device telemetry data to uncover patterns in user behavior.
• Drive improvements in sound quality, noise cancellation, and voice recognition through data analysis.
• Collaborate with data scientists and engineers to build reliable datasets and develop analytical workflows.
• Translate telemetry insights into data-driven improvements for device audio experiences.
• Work with telemetry or time-series data to enhance predictive and adaptive system improvements.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.