As a Data Scientist on the Apple Store Online team, you will provide data-driven insights to combat fraud and enhance customer experiences. Your role will involve developing models, evaluating product launches, and creating automated solutions for timely alerts. You will collaborate with engineers and business leaders to drive meaningful customer impact through advanced analytical methods. The team is dedicated to delivering a magical digital shopping experience for Apple customers.

• Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent.
• Proficiency in data querying using SQL, Spark, or equivalent technologies.
• Proficiency in scripting languages for data processing and analysis such as Python, R, or Scala.
• At least 3 years of experience working as a Data Scientist.
• PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent.
• Experience applying LLMs to solve technical problems such as data analysis, data automation, and synthetic data generation.

• Research and develop evaluation methods to address fraud.
• Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods.
• Design and execute observational and experimental studies of causal inference.
• Work with large, complex data sets.
• Develop automated solutions to deliver insights and alerts.
• Drive feature evaluation and product roadmap with insights.

• 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.