Senior Data Scientist, Japan Consumer Innovation (JCI)
Senior Data Scientist, Japan Consumer Innovation (JCI)
Posted on :
25-08-2025
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1 Vacancy
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Job Description
The JP Retail Science and Data Technologies team is looking for customer obsessed highly analytical Senior Data Scientist to lead the science innovation transformation and development for Supply Chain Solutions.
Our products across the supply chain are adopted by business customers and affect the lives of millions of end customers with availability fast delivery speed and lower product costs.
You will work within an international team of engineers scientists and product managers all based in Tokyo Japan. We are a team that thrives on growth both personal and professional. This is the ideal role if you are excited about leveraging science for tangible business impact and have already some experience in the supply chain area with a focus on inventory forecast.
Key job responsibilities
- Lead the analysis prototyping and implementation of forecasting and recommendation models in supply chain 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.
- Lead data transformation in the business - identify and implement opportunities to simplify and sharpen the way we do business through data automation and analytics.
- Be active in the community participating in science education/growth activities.
- Keep up to date with scientific development in the field.
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our products across the supply chain are adopted by business customers and affect the lives of millions of end customers with availability fast delivery speed and lower product costs.
You will work within an international team of engineers scientists and product managers all based in Tokyo Japan. We are a team that thrives on growth both personal and professional. This is the ideal role if you are excited about leveraging science for tangible business impact and have already some experience in the supply chain area with a focus on inventory forecast.
Key job responsibilities
- Lead the analysis prototyping and implementation of forecasting and recommendation models in supply chain 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.
- Lead data transformation in the business - identify and implement opportunities to simplify and sharpen the way we do business through data automation and analytics.
- Be active in the community participating in science education/growth activities.
- Keep up to date with scientific development in the field.
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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