As an R&D Finance & Data Scientist at Apple, you will be instrumental in developing and maintaining the financial data infrastructure that supports the R&D Finance organization. This role combines financial expertise with technical skills in SQL, Python, and machine learning to enhance data governance and operational efficiency. You will work closely with cross-functional teams to optimize financial operations and deliver actionable insights. The position emphasizes innovation and collaboration to drive data-backed decision-making in a fast-paced environment.

• 5+ years of hands-on experience in full lifecycle software/tool development, data engineering, and analytics in a finance, operations, or enterprise analytics setting.
• Bachelor's degree in Computer Science, Software Engineering, Data Analytics, Information Systems, Finance/Economics with a technical focus, or equivalent practical experience.
• Advanced proficiency in SQL and Python for complex data extraction, pipeline, orchestration, and analytical modeling across large-scale relational databases and data warehouses.
• Experience with front-end/web-based tools and scripting (e.g., JavaScript) to power internal financial workflows.
• Hands-on expertise building enterprise-grade data flows, ETL/ELT pipelines, and advanced analytics in Dataiku and relational environments.
• Proven track record designing, building, and maintaining high-performance, interactive Tableau dashboards for spend analytics and executive-level reviews.
• Working knowledge of Machine Learning engineering and LLM development/orchestration frameworks.
• Demonstrated ability to implement AI/ML capabilities for anomaly detection, automated reconciliation, and continuous control monitoring.
• Exceptional communication skills with the ability to translate complex technical architectures into clear, concise business narratives for executive stakeholders.
• Direct experience within R&D/Engineering Finance or tech-industry financial operations.

• Architect, build, and maintain the financial data infrastructure and advanced analytical tooling for R&D Finance.
• Redesign and automate expense management, annual budget planning, and Purchase-to-Pay workflows.
• Evaluate and deploy cutting-edge technologies to conduct financial reconciliations and detect spend anomalies.
• Enhance and maintain Line of Business data models and multi-dimensional financial views.
• Identify manual bottlenecks and architect scalable, automated solutions.
• Collaborate with finance analysts, business partners, and engineering teams to champion standardizations and scalable best practices.

• 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.