Senior Data Scientist, Japan Retail Science

Senior Data Scientist, Japan Retail Science

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

Deals and promotion is one of the key tools to help vendors grow their business on Amazon. We want to leverage science to evaluate promotion scenarios, ROI and help vendors find the best promotion that fits their needs.

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

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:

1. Lead the analysis, prototyping and implementation of recommendation models for Amazon vendors.
2. Work closely with other scientists and engineers to review and improve your model design proposals.
3. 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.
4. Spot opportunities for innovation and scientific publications, and publish to internal or external conferences.
5. Be active in the community, participating in science education/growth activities.
6. 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 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 the 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.

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 or similar role involving data extraction, analysis, statistical modeling and communication experience

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)

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