Senior Data Scientist, Amazon Global Selling -AIT Job at Amazon in Mountain View

Senior Data Scientist, Amazon Global Selling - AIT

Amazon 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.

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.

Key responsibilities include:

• Collaborate with BIE, DE, 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 stakeholders 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 stakeholders.

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.

Basic Qualifications

Requirements:

• 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.
• Master's 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.

Preferred Qualifications

Preferred 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.
• Experience working with data engineers and business intelligence engineers collaboratively.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.