AmazonPosted 4mo ago

Senior Data Scientist, JP Seller Services

Senior Data Scientist, JP Seller Services at Amazon scores 81 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

JP, 13, Tokyoseniorfull-time

AI in this role

We are seeking an exceptional Senior Data Scientist to join our JP Seller Services team, where you will play a pivotal role in enabling seller growth and success on Amazon Marketplace through innovative products, technology, and data-driven solutions. As a key member of JP Seller Services, you will collaborate with cross-functional stakeholders across Amazon to develop sophisticated AI-native science solutions and innovative problem-solving products through advanced analytics, machine learning, statistical modeling and generative AI. These solutions will enable seller business growth on Amazon Marketplace and deliver key strategic decisions impacting our entire business. The ideal candidate combines strong technical depth with the strategic thinking to address complex business problems at scale.

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.

Key job responsibilities
(1) Implement AI-driven solutions to streamline and accelerate the science model development and evaluation cycle, enabling faster iteration and impact delivery.
(2) Develop science-based solutions to optimize seller engagement channel strategies.
(3) Build and scale end-to-end AI-native recommendation models using generative AI and ML to identify critical seller challenges and unlock business growth opportunities.
(4) Collaborate with stakeholders to transform business insights into rigorous scientific solutions.

Basic qualifications

- 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

Preferred qualifications

- 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

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