Apple is seeking a demographic data scientist to join a collaborative human factors design team. This role focuses on analyzing human populations using statistics, programming, and machine learning to enhance Apple hardware products. The ideal candidate will work closely with cross-functional teams to create actionable visualizations from complex datasets. Strong communication skills and a passion for problem-solving are essential for success in this position.

• MS +3 years of experience or PhD in an analytical field such as Quantitative Social Sciences, Computer Science, Engineering, Statistics, or related disciplines.
• Deep knowledge of statistical analysis and modeling tools.
• Strong programming skills in a scripting language such as Python, R, or Matlab.
• Experience with population modeling, inference, weighting, and simulation techniques.
• Experience with statistical methods such as Bayesian methods.
• Experience with human anthropometric, biometric, or perception/preference data.

• Analyze human populations using statistical methods and machine learning.
• Collaborate with cross-functional teams to improve Apple hardware products.
• Create intuitive visualizations from complex datasets.
• Communicate solutions to dynamic problems through presentations.
• Utilize generative AI tools in workflows.

• 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.