The Marketing Data Scientist role at Apple Services focuses on leveraging data to drive growth in media services and enhance marketing programs. The position is part of the Apple Media Products Data Science & Analytics organization, which is dedicated to improving services while prioritizing customer privacy. The role involves working with large datasets and collaborating with various teams to deliver insights that influence engagement and revenue strategies. Candidates should be passionate about data-driven decision-making and possess strong analytical skills.

• 5+ years of experience extracting business insights from large datasets using Python and SQL.
• Demonstrated ability in a Data Scientist or Data Analyst role, preferably in digital media or technology.
• Excellent communication and presentation skills with attention to detail.
• Experience with marketing data science analysis, including experimental design and causal analysis.
• Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Data Science, Statistics, or equivalent experience.
• Experience analyzing subscription business performance and familiarity with subscription lifecycle metrics.

• Drive growth in media services through data analysis and marketing program evolution.
• Utilize attribution, causal inference, A/B testing, and LTV prediction modeling in projects.
• Collaborate with partners across Business, Marketing, Product, and Engineering teams.
• Condense complex concepts and analyses into actionable insights for stakeholders.
• Measure advertising value using causal inference techniques.

• 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.