Ph3Senior Data Scientist, Amazon Global Selling -AIT /h3 pJob ID: | Amazon (Shanghai) International Trading Company Limited /p pAmazon Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 50% of Amazon's total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazon’s 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. /p pThe 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. /p pIn 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. /p h3Responsibilities /h3 ul liCollaborate with BIE, DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges. /li liInteract 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 /li liCreate and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder /li /ul h3About the team /h3 pThe 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. /p pOur 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. /p h3Basic Qualifications /h3 ul li8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience /li li6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience /li liMaster's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science /li liExperience with statistical models e.g. multinomial logistic regression /li li5+ years of hands on experience with Python to build, train, and evaluate models /li /ul h3Preferred Qualifications /h3 ul li2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience /li liExperience managing data pipelines /li liExperience as a leader and mentor on a data science team /li liExperience working with data engineers and business intelligence engineers collaboratively /li /ul pOur 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 you’re applying in isn’t listed, please contact your Recruiting Partner. /p pbPosted: /b April 27, 2025 (Updated 3 months ago) /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p /p #J-18808-Ljbffr