Manager, Applied Science, Japan Store Tech
DESCRIPTION
Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery.
As the Applied Science Manager, you will manager the team of scientists where the business opportunity or overall strategy may not yet be defined. You need to create the science long-term vision and roadmap across multiple business domains. Your team will design, implement and deliver science models on Amazon site, helping millions of customers every day to find quickly what they are looking for.
Key job responsibilities
* Leads team(s) performing strategically important scientific analyses to identify technology gaps and business opportunities.
* Leads team(s) driving the design and delivery of solutions or systems that address significantly complex science problems and tooling efforts, decisions, and escalations.
* Communicates and drives strategic initiatives (3-5 year). Critical inputs into OP1/OP2. May be actively involved with the external scientific community
*Build a science publication strategy (what to publish, where and when). Determines when to establish a program or make a case for resources.
We are open to hiring candidates to work out of one of the following locations:
Beijing, 11, CHN | Shanghai, 31, CHN
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers