The Data Scientist role at Apple focuses on leading algorithm evaluation and performance intelligence for intelligent systems. This position involves defining measurement methodologies for algorithm quality and driving evaluation strategies in collaboration with cross-functional teams. The role requires a strong technical background in data science and machine learning, emphasizing the improvement of product quality through data-driven insights. The candidate will also explore AI-assisted workflows to enhance evaluation efficiency and scalability.

• BS and a minimum of 10 years relevant industry experience
• 7+ years of experience in data science, machine learning evaluation, algorithm analysis, or related technical disciplines
• Strong expertise in statistical analysis, experimentation methodologies, and large-scale data analytics
• Deep experience evaluating machine learning, computer vision, or AI systems through quantitative metrics and performance analysis
• Strong programming experience in Python, with hands-on experience building scalable analytics and automation pipelines
• Exceptional problem-solving skills with the ability to translate ambiguous technical problems into measurable frameworks
• Strong understanding of algorithm evaluation concepts, including precision/recall tradeoffs and benchmarking methodologies

• Define how algorithm quality is measured, understood, and improved
• Drive evaluation methodologies and establish scalable metrics frameworks
• Lead deep technical investigations into algorithm behavior and system performance
• Collaborate closely with algorithm engineers, machine learning researchers, and QA teams
• Conduct algorithm deep dives, failure analysis, and model performance investigations
• Shape how agentic solutions and AI-assisted tooling are integrated into workflows
• Develop rigorous methodologies to assess algorithm quality and identify failure patterns
• Establish scalable frameworks to improve evaluation efficiency and confidence in product decisions

• 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.