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Description

The JP Retail Science team is looking for an Applied Scientist to expand our efforts in automating negotiations

In this position, you will be expected to research, design and build new tools to increase Amazon's operational efficiency with vendor negotiations. It may require working in the areas of recommendation, mathematical optimization or NLP. This is the ideal role if you are excited about leveraging science for tangible business impact.

You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are a team that thrives on growth, both personal and professional. Engage in academic collaborations, spark innovation in hackathons, and expand your horizons with conference visits.

Key job responsibilities

As an Applied Scientist, your responsibilities will be:

• Work closely with other scientists and engineers to review and improve your model design proposals.

• Partner with product managers and other business stakeholders, documenting and explaining your progress in business reviews, and being the technical voice in charge of your product.

• Spot opportunities for innovation and scientific publications, and publish to internal or external conferences.

• Be active in the community, participating in science education/growth activities.

• Keep up to date with scientific development in the field.

About the team

JP Retail Science is a team of Applied Scientists, Science Managers, and Business Intelligence Engineers. The team's charter is to develop science-based models to help all Amazon vendors to maximize their growth. From our base office in Tokyo, Japan, we build for all vendors worldwide, and collaborate with other science teams in Europe and US.

Because we are not tied to a specific technology, such as Search or Alexa, our projects and the science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization.

A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs, and conference participation.

We are open to hiring candidates to work out of one of the following locations:

Tokyo, 13, JPN

Basic Qualifications

• 3+ years of building models for business application experience

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

• Experience programming in Java, C++, Python or related language

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience with generative deep learning models, and specifically LLM development.

• Experience with AWS services and development.

• Knowledge of SQL, Scala or pyspark for big data processing.

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