Engineering Project Manager Intern (Data Expert) - Shanghai

Descrizione del lavoro:

Imagine what you could do here. At Apple, new ideas have a way of quickly becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. Passion is at our core. The people at Apple strive to bring their best to everything they do every day. We innovate down to the details and bring outstanding products and services to the teams we support. At Apple, we make extraordinary products that empower people to improve their lives, stay connected and build amazing things. The people here at Apple don't just build products - they craft the kind of wonder that has revolutionized entire industries. The diversity of those people and their ideas encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
The REPS Engineering Project Manager intern (Data expert) is a highly visible role with company-wide impact. You will be focused on supporting new and sustaining products via close collaboration with internal and external partners to track and handle certification timelines, schedules, and project landmarks. You will work closely with internal engineering teams to ensure our products meet the highest global and Apple-specified requirements in a fast-paced and demanding product development environment. This role will also require the meticulous management, recording, storage, and organization of critical certification data into internal systems and repositories. In your capacities as a data scientist, you will thoughtfully visualize complex data sets to extract meaningful insights in an easy to understand manner for a wide range of audiences.
Student of Master degree in ME/EE/CE areas Available to join internship for 6-12 months full-time( min. 3 months FT) Excellent communication skills, both verbally and written (In both Chinese and English)
Working knowledge of relational database technologies such as Tableau, Teradata, Oracle, MySQL, etc. Experience in analytics scripting languages, such as Python or R is a plus Experience in multi-tasking and project management