Apple's Strategic Data Solutions team is seeking a Data Scientist to leverage data science and machine learning to mitigate financial losses and enhance business processes. The role involves collaborating with various teams to analyze business needs, document requirements, and develop technical solutions. The ideal candidate will work closely with machine learning engineers and software engineers, utilizing Python and SQL to drive analytics and improve efficiency. Strong communication skills and the ability to adapt to changing environments are essential for success in this position.

• BS or MS in a technical field such as math, statistics, engineering, computer science, or analytics.
• 3-5 years of experience as a QBA, Data Scientist, or in a related role.
• Proficiency in SQL and big data systems and tools.
• Programming skills in Python.
• Experience in investigations, testing, building metrics, reporting, and predictive analysis.
• Strong verbal and written communication skills.
• Experience with Entity Relationship Diagrams.

• Support the discovery of business problems and analyze new data sources.
• Perform ad-hoc and recurring investigations and analyses.
• Collaborate with machine learning engineers and software engineers to create business intelligence solutions.
• Present analysis results to business units and prepare documentation for integration testing.
• Facilitate meetings, collect minutes, and drive tasks to completion.
• Assist in all stages of implementation, including UAT and production release.
• Create Quality Assurance Test scripts to validate business requirements.
• Work with business groups during UAT to address questions and resolve issues.

• 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.