Data Scientist, Applied AI & Insights
Apple· Sales and Business Development
Hybrid (Beijing, China)Not specifiedPosted 3mo ago
About the role
Data Scientist role supporting Apple’s Sales organization in China. Combines business understanding, analytical thinking, and applied AI to solve complex business problems, design agent-based solutions, and build scalable AI-enabled analytical products. Focus on translating ambiguous business needs into structured workflows, orchestrating AI agents, and delivering reusable analytics tools.
Responsibilities
- Partner closely with business stakeholders to understand priorities, identify pain points, and uncover opportunities where data and AI can improve business decision-making.
- Translate ambiguous business questions into structured analytical frameworks, agent workflows, and scalable solution designs.
- Design and orchestrate AI agents that can perform tasks such as business Q&A, research, information extraction, data analysis, workflow automation, and decision support.
- Define how multiple agents interact with each other, including task decomposition, role assignment, context sharing, tool usage, memory management, validation, and final response synthesis.
- Convert recurring business processes into reusable analytics products, internal tools, or agent-based workflows.
- Use data analysis, experimentation, forecasting, causal inference, optimization, LLMs, RAG, or other applied AI techniques to diagnose business issues and support decisions.
- Work with engineering, data, product, and business teams to prototype, iterate, and productionize AI-enabled analytical solutions.
- Communicate complex analytical and AI concepts clearly to both technical and non-technical audiences.
- Help shape best practices for building reliable, scalable, and business-relevant AI agent solutions.
Qualifications
- Strong quantitative, analytical, or technical background in data science, statistics, economics, operations research, computer science, engineering, or a related field; or equivalent practical experience.
- Demonstrated capability in structured problem solving, analytical thinking, and using data or AI to address business problems.
- Strong business understanding and problem-structuring ability, especially in ambiguous environments.
- Proficiency in Python and SQL for data analysis, prototyping, and workflow development.
- Familiarity with LLM applications, RAG, AI agents, tool calling, workflow automation, or applied machine learning.
- Ability to connect data and AI work to real business impact.
- Strong communication and stakeholder management skills.
- Fluent verbal and written communication skills in both Mandarin Chinese and English.
- PhD, or Master’s degree in Economics, Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related quantitative / technical field.
Skills
Required:Quantitative/analytical backgroundProblem solving and structured thinkingBusiness acumen in ambiguous environmentsPythonSQLCommunicationMandarin Chinese & English
Nice to have:LLMs / AI agents / RAG
Last updated Jul 3, 2026. Interested? Apply on the company site.
About Apple
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