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Job Description
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.
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.
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
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
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
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.