drjobs Senior Data Scientist, Amazon Global Selling AIT

Senior Data Scientist, Amazon Global Selling AIT

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1 Vacancy
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Job Location drjobs

Shanghai - China

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Amazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazons 19 overseas marketplaces and supporting local Sellers success and growth on the Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.

The Amazon Global Selling Analytics Intelligence and Tools (AGS-AIT) team serves as the research automation and insight arm of the International Seller Service data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.
AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.

In this role you will apply advanced analytics techniques AI/ML and statistical concepts to derive insights from massive datasets. The ideal candidate should have expertise in AI/ML statistical analysis and the ability to write code for building models and pipelines to automate data and analytics processing. They will help us design experiments build models and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems. They will turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact.

Key job responsibilities
Collaborate with BIEDE PM CSM to research design develop and evaluate generative AI solutions to address Global Selling challenges.
Interact with stakeholders directly to understand their business problems aid them in implementation of generative AI solutions brief stkaholders and guide them on adoption patterns and paths to production
Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder

About the team
The Asia Global Selling Analytics Intelligence and Tools (AGS-AIT) team serves as the most advanced regional data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.
Our focus centers on three key areas: 1) establishing robust AI-Ready cross-organizational data foundations as the backbone for AGS AI transformation 2)enabling comprehensive data self-service through automated Business Intelligence (BI) solutions and customized AI products and 3) pioneering AI-powered automation to enhance team productivity.

- 8 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 6 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5 years of hands on experience with Python to build train and evaluate models

- 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
- Experience working with data engineers and business intelligence engineers collaboratively

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:

Exec

Employment Type

Full-Time

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