2020 Apple Internship - Information Systems and Technology
上海, 上海, 中国内地
Working with awesome people and awesome products not only makes your work meaningful, it drives you to make our world a better place. Imagine what you could do here? 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. The Information Systems & Technology (IS&T) organization produces key business and technical infrastructure at Apple — handling orders from the online store, creating applications that enhance the retail store experience, providing network bandwidth for our services around the world, processing every transaction in iTunes, and closing the books. IS&T does it all. If you’re a born problem solver who enjoys collaborating on the next big thing, we may just have your dream internship. This position is located at our Apple corporate office in Shanghai, China.
- Pursuing an undergraduate or graduate degree
- Graduating in calendar year 2020-2021
- Experience in Python development
- Experience in Database (SQL or Non-SQL)
- Experience in analysing data pattern
- Strong presentation skill (English)
The internship offers a variety of assignments, ranging from special projects for new business initiatives to operations in a rapidly growing and dynamic setting. Interns benefit from a combination of training and project-oriented, on-the-job work experience. ASSIGNMENTS MAY INCLUDE: - Data Pattern and Trend Analysis - Predictive Analysis - Data Visualisation - A Proof-of-Concept or Prototype to solve a supply chain business problem These are not routine day-to-day tasks. You will build an innovative solution that creates an impact to Apple Business and Customer Experience. You should have solid technical background, learn new things fast and enjoy refining your work over and over again.
Undergraduate/Graduate degree in Information System, Computer Science, Math, Statistics or Economics.
- - Knowledge of scikit-learn, Tensorflow is a plus
- - Knowledge of Matplotlib or other python data visualisation libraries is a plus
- - Knowledge of Supply Chain Management is a plus