Economist/Core Data Scientist

Summary

At Apple, we believe in hard work, a fun environment, and the creativity and innovation that only comes about when hardworking people from diverse backgrounds approach problems from varying perspectives The people here at Apple don’t just build products — they craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs 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! Building this environment starts with YOU! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. If you bring passion and dedication to your job and there’s no telling what you could accomplish. This is a visible and important role at Apple in China and will have great impact on Sales Team. In this role, you will apply advanced statistical, econometric, and data science methods to diagnose business performance, uncover growth opportunities, and forecast potential outcomes for strategic decisions. Your work will directly support sales strategy and help shape our business plans.

Description

Partner with business teams to translate strategic questions into analytical frameworks Build and apply models for causal inference, forecasting, and optimization Analyze complex datasets, including geospatial and market data, to identify performance drivers Present clear, actionable insights to stakeholders

Minimum Qualifications

Strong quantitative background in statistics, econometrics, or applied mathematics Expert R/Python programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL) Excellent verbal and written communication skills, in both Mandarin Chinese and English

Preferred Qualifications

Proven experience in causal inference, predictive modeling, and large-scale data analysis Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule Industry experience as a senior data scientist with engineering or production-level coding experience.