As a Staff Data Scientist on the Apple Store Online team, you will lead the technical direction for AI-powered and personalized experiences in the Retail Online journey. Your role involves architecting advanced models and developing automated solutions to enhance customer interactions. You will collaborate with engineers and business leaders to drive impactful customer experiences while mentoring junior data scientists. The focus is on applying advanced statistical methods and machine learning to solve complex analytical problems.

• Masters in Statistics, Mathematics, Data Science, ML, Physics, Engineering, CS or equivalent
• 5+ years of experience as a Data Scientist
• Expert proficiency in statistical analysis, causal inference, and experimentation design
• Proficiency in SQL, Spark or equivalent; Python or R for modeling and analysis
• Experience building solutions with LLMs and prompt engineering
• PhD in Statistics, Mathematics, Data Science, ML, Physics, Engineering, Computer Science or in a quantitative field
• Publications or patents in causal inference, ML, or applied statistics

• Set the technical direction for AI-powered and personalized experiences across the Retail Online journey
• Research and define the gold standard for evaluation methods to improve the quality of the Retail online journey
• Design, execute, and oversee robust observational and experimental studies
• Develop AI-native automated solutions to deliver prescriptive insights and proactive alerts
• Drive the feature evaluation philosophy and shape the product roadmap with insights
• Establish a rigorous culture of experimentation

• 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.