Sr Manager, Applied Science, Japan Store Tech - Tokyo

Job 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 Sr. Applied Science Manager, you will manager the teams of scientists (applied scientists, data scientists) and machine learning engineers 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.

A day in the life
Your benefits include:

* Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers

* The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact

* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

Basic Qualifications:

10+ 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

Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:
https://www.amazon.jobs/en/landing_pages/passivesmoking
就業の場所における受動喫煙を防止するための措置に関する事項については、下記リンク先をご覧ください。
https://www.amazon.jobs/jp/landing_pages/passivesmoking

The salary information can be provided individually prior to the 1st interview
賃金に関する条件は、１次面接の前に個別にご案内することができます