Lead iCloud Insights Engineer, Services Data Science & Analytics

Job description

Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly — and if you are passionate about telling compelling data stories with creative and insightful visualizations, we would love for you to apply. The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world, with an exceptional team collaborating on the best ways to improve these services for our customers. Our team's culture is centered around rapid iteration, open feedback, and healthy debate to arrive at the best outcomes. We encourage independent decision-making and taking calculated risks. Our team partners as an analytical advisor with colleagues across product, design, engineering, marketing, editorial, and business. Minimum Qualifications: 8+ years of experience in a Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering role, with demonstrated progression into more senior or technical-lead scope • Hands-on experience building and deploying custom web applications (e.g., using frameworks such as React, Streamlit, Flask, Django, Next.js, or similar) as an alternative or complement to traditional BI tools • Practical experience integrating AI/LLM capabilities into applications or workflows (e.g., prompt-based interfaces, retrieval-augmented generation, AI agents, copilots, or automated insight/reporting generation) • Strong SQL skills and experience designing data models and pipelines to support responsive, highly interactive applications • Proficiency with data visualization tools for legacy reporting in support of custom-built web applications • Familiarity with data engineering tools and concepts, data pipeline development, and aggregation strategies at scale • Excellent communication, presentation, and stakeholder management skills, with the ability to influence senior partners and represent the team's technical direction • Proven ability to lead projects independently, mentor other engineers, and balance multiple high-visibility initiatives with tight deadlines • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field Preferred Qualifications: • Experience in a digital subscription business or large-scale e-commerce or media streaming platform • Strong Python skills, including experience with AI/ML libraries (e.g., LangChain, OpenAI/LLM APIs, scikit-learn) and Spark for large-scale data processing • Experience designing and building AI agents or agentic workflows for internal tooling or analytics automation • Track record of leading a team or driving technical strategy through a tool migration or major architectural shift • Familiarity with cloud-native application deployment and modern front-end/back-end development practices • MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field