R&D Finance Data Scientist - AI & Analytics

Apple Inc.; Cupertino (CA); On-site; USD 149,000 - 249,000; Full time

Job summary

Apple Inc. in Cupertino, CA, seeks an R&D Finance Tools & Analytics data scientist to architect and maintain the financial data infrastructure, driving insights across headcount, Opex, and Capex for the R&D organization.

You will combine financial acumen with SQL, Python, ML and Generative AI to optimize planning, tracking, and governance, partnering with finance and engineering to deliver scalable solutions.

Qualifications

• 5+ years of hands-on experience in full lifecycle software/tool development, data engineering, and analytics in a finance/operations setting.
• BS in Computer Science, Software Engineering, Data Analytics, Information Systems, Finance/Economics with a technical focus.
• Advanced proficiency in SQL and Python for complex data extraction, pipeline, orchestration, and analytical modeling across large-scale relational databases and data warehouses.
• Hands-on expertise building enterprise-grade data flows, ETL/ELT pipelines, and advanced analytics in Dataiku and relational environments (e.g., FileMaker, Snowflake, or modern data warehouses).
• 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 (e.g., LangChain, LangGraph, AgentConnect).
• Demonstrated ability to implement AI/ML capabilities for anomaly detection, automated reconciliation, and continuous control monitoring
• Demonstrated experience leading end-to-end Project Lifecycle Deployments (scoping, technical architecture, prototyping, testing, deployment, and change management).
• Exceptional communication skills with the ability to translate complex technical architectures into clear, concise business narratives for executive stakeholders.
• Comfort with ambiguity, high ownership, and a proactive approach to pairing identified problems with viable technical solutions.

Responsibilities

• Own, prioritize, and drive the multi-year technology and process re-engineering roadmap for R&D Finance systems.
• Architect, develop, test, deploy, and maintain robust data pipelines, internal web tools, and automated workflows supporting day-to-day finance operations.
• Build, fine-tune, and deploy LLM-driven agents and ML models to automate complex reconciliations, transaction categorization, and variance analysis.
• Design and maintain scalable Tableau reporting suites for spend analysis, forecast-vs-actual variance, and executive leadership reviews.
• Enhance, optimize, and govern the LOB reporting data model to ensure seamless financial visibility across product portfolios.
• Partner with SMEs, business leads, and finance analysts to gather business requirements, translate them into technical specs/prototypes, and drive consensus.
• Lead rollouts, documentation, and user enablement for all newly developed tools and automated capabilities.
• Uphold the highest standard of data integrity, confidentiality, and governance around sensitive product roadmaps and financial data.

Skills

SQL

Python

Data engineering

Analytics

Tableau

Machine Learning

LangChain / LangGraph

ETL/ELT pipelines

Communication

Education

BS in CS/Software Engineering/Data Analytics/Information Systems/Finance with technical focus

Tools

Dataiku

Snowflake

FileMaker

LangGraph

LangChain

Job description

Apple Inc. in Cupertino, CA, seeks an R&D Finance Tools & Analytics data scientist to architect and maintain the financial data infrastructure, driving insights across headcount, Opex, and Capex for the R&D organization.

You will combine financial acumen with SQL, Python, ML and Generative AI to optimize planning, tracking, and governance, partnering with finance and engineering to deliver scalable solutions.