Amazon Senior Data Scientist Retail Science 

Japan 

753590311

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.
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.
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.

- 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

- 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)