Data Scientist, Applied AI & Insights

At Apple, we believe in hard work, a fun environment, and the creativity and innovation that come from diverse perspectives. The people here at Apple don’t just build products — they create the kind of wonder that revolutionizes entire industries. It’s the diversity of those people and their ideas that inspires the innovation running through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
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.
This is a highly visible role supporting Apple’s Sales organization in China. We are looking for a Data Scientist who can partner closely with business teams to identify opportunities, uncover insights from data, and transform recurring business needs into scalable analytical solutions, data products, and AI agents. This role is ideal for someone who combines strong analytical depth with business judgment, structured problem solving, and the ability to influence cross-functional stakeholders.
Partner closely with business stakeholders to understand priorities, identify pain points, and proactively uncover high-impact opportunities through data
Translate ambiguous business questions into structured analytical frameworks, actionable insights, and scalable solution roadmaps
Use data analysis, experimentation, causal inference, forecasting, or other quantitative methods to diagnose business issues and inform decisions
Synthesize recurring business workflows and decision patterns into reusable data products, analytical frameworks, or AI/agent-based solutions
Drive end-to-end problem solving, from opportunity sizing and hypothesis generation to analysis, recommendation, stakeholder alignment, and execution support
Communicate complex analytical findings in a clear and compelling way to both technical and non-technical audiences
Influence partners across business, product, engineering, and data teams to align around priorities and accelerate adoption of analytical and AI solutions
Help shape best practices for how data science can scale business impact through tools, automation, and intelligent agents
<h3>Minimum Qualifications</h3>Strong quantitative background in statistics, econometrics, operations research, applied economics, marketing science, or a related field
Demonstrated ability to use data to solve real business problems and generate actionable insights
Strong problem-structuring skills, with the ability to work through ambiguity and define clear analytical approaches
Proficiency in Python and SQL for data analysis, modeling, and scalable analytics workflows
Excellent communication and stakeholder management skills, with the ability to present to non-technical business audiences
Ability to connect analytical work to business impact and drive decisions across cross-functional teams
Fluent verbal and written communication skills in both Mandarin Chinese and English
<h3>Preferred Qualifications</h3>Experience in a highly business-facing analytics, strategy, consulting, or data science role
Experience identifying repeatable business problems and converting them into scalable tools, internal products, or AI/agent workflows
Familiarity with experimentation, causal inference, forecasting, segmentation, or optimization methods in practical business settings
Strong storytelling skills with the ability to frame opportunities, build stakeholder buy-in, and influence direction with data
Comfort operating in ambiguous environments and managing multiple priorities simultaneously
Experience working with product, engineering, or machine learning teams to productionize analytical solutions
Advocate for reproducible analysis, version control, and high-quality data science standards

Education & Experience

PhD in Economics, Statistics, Operations Research, Marketing Science, Data Science, or a related quantitative field; or
Master’s degree in a related field with 3+ years of relevant experience in data science, analytics, strategy, or consulting