R&D Finance & Data Scientist

Cupertino, California, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!

As an R&D Finance & Data Scientist, you will play a critical role in architecting, building, and maintaining the financial data infrastructure and advanced analytical tooling that powers Apple's R&D Finance organization. In this role, you will bridge the gap between financial operations and cutting-edge data science - optimizing how we plan, track, and manage R&D Headcount, Opex, and Capex spend.

You will combine deep financial acumen with hands-on technical expertise in SQL, Python, machine learning, and Generative AI to eliminate operational friction, improve data governance, and deliver actionable executive intelligence. Partnering closely with cross-functional teams and the Finance Transformation Office, your work will directly influence operating margin performance, financial transparency, and strategic product roadmaps in a dynamic, fast-paced global environment.

The R&D Finance Tools & Analytics team is dedicated to modernizing and transforming core finance operations across the R&D organization. We architect internal tools, automate mission-critical workflows, and build advanced analytics platforms that enable financial analysts and leadership to make faster, data-backed  this role, you will take ownership of identifying manual bottlenecks and architecting scalable, automated solutions across:

Financial Operations & Control:
Redesigning and automating expense management, annual budget planning, Purchase-to-Pay (P2P) workflows, accounting close activities, and headcount approval pipelines.

Advanced Analytics & AI Enablement:
Evaluating and deploying cutting-edge technologies with a strong focus on Generative AI and automated monitoring to conduct financial reconciliations, detect spend anomalies, and enforce internal controls a Governance & Product/LOB Modeling:
Enhancing and maintaining the Line of Business (LOB) data models and multi-dimensional financial views to deliver granular, reliable visibility into product engineering investments.

Our team thrives on innovation, continuous improvement, and cross-functional collaboration. You will work side-by-side with finance analysts, business partners, and engineering teams to champion standardizations and scalable best practices across the enterprise.

• Systems & Process
  
  Roadmap:
  
  Own, prioritize, and drive the multi-year technology and process re-engineering roadmap for R&D Finance systems.
• Architecture & Development:
  Architect, develop, test, deploy, and maintain robust data pipelines, internal web tools, and automated workflows supporting day-to-day finance operations.
• Gen AI & Intelligent Automation:
  Build, fine-tune, and deploy LLM-driven agents and ML models (using frameworks like Lang Graph / Lang Chain) to automate complex reconciliations, transaction categorization, and variance analysis.
• Executive Dashboards & BI:
  Design and maintain scalable Tableau reporting suites for spend analysis, forecast-vs-actual variance, and executive leadership reviews.
• LOB & Reporting Models:
  Enhance, optimize, and govern the LOB reporting data model to ensure seamless financial visibility across product portfolios.
• Stakeholder Alignment & Requirements:
  Partner with SMEs, business leads, and finance analysts to gather business requirements, translate them into technical specs/prototypes, and drive…