Job Information
Amazon Senior Applied Scientist, Japan Retail Science in Tokyo, Japan
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 profitability during pricing negotiations with vendors. It may require working in the areas of causal inference, reinforcement learning, and/or mathematical optimization, . 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
PhD, or Master's degree and 5+ years of building machine learning models for business application experience
Knowledge of programming languages such as C/C++, Python, Java or Perl
Preferred Qualifications
PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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