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Description

The JP Retail Science team is looking for a Senior Data Scientist to lead the science development of vendor service recommendation.

Amazon is providing vendors several tools and services to help vendors sell on Amazon. As the number of tools increases, we want to provide tailored solutions to each vendor. Automation through recommendation is key to work at Amazon's scale.

In this position, you will be expected to review existing literature, analyze data and prototype predictive analytics/ train recommendation models for our vendor-based services. You will have access to our vast historical transaction data and vendor tools interaction to formulate hypotheses, build prototypes and train new models for vendor recommendation.

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 a Senior Data Scientist, your responsibilities will be:

• Lead the analysis, prototyping and implementation of recommendation models for amazon vendors.

• 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 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

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 4+ years of data scientist experience

• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

• Experience managing data pipelines

• Experience as a leader and mentor on a data science team

• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

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