About the role
AI summarisedJoin the Fulfillment Operations team within Strategic Data Solutions at Apple to apply machine learning and optimization techniques to solve complex, real-world logistics problems within Apple's global supply chain. You will design, build, deploy, and maintain end-to-end data-driven solutions that directly improve operational efficiency and security.
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Key Responsibilities
- Engage with stakeholders to translate ambiguous business problems into technical solutions
- Design data-driven solutions, balancing established techniques with custom approaches where they add value
- Collaborate with technical partners to implement robust real-time and batch decisioning in production
- Build and maintain data pipelines, distributed systems, and infrastructure that power fulfillment operations
- Write clean, testable, maintainable code and establish best practices for code quality and system reliability
- Create reporting and monitor decisioning quality to maintain operational and business metric health
- Communicate with stakeholders about your work, tailoring explanations to varying technical backgrounds and business priorities
Requirements
- Graduate degree with research/work experience utilizing data science techniques (e.g., Computer Science, Statistics)
- Bachelor's degree with equivalent experience in data science
- At least 3 years of practical experience building and deploying programmatic solutions to answer real-world questions
- Practical experience implementing data science applications in Python or a similar programming language
- Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
- Ability to use SQL to extract insights from data
- Experience with version control systems and modern development workflows
- Excellent problem-solving, critical thinking, and communication skills