#200328147-0351_EN_rxr-662
nd 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","educationAndExperience":"Master's degree or above in Statistics, Economics, Data Science, or related quantitative fields
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.
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
Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.