Description

Amazon's North America Stores (NAS) connects millions of customers with sellers, offering unparalleled product selection at competitive prices. Our Science team drives this mission through data-driven innovation and research.

We're seeking a Data Scientist to:
· Develop comprehensive data dictionaries and optimize data infrastructure
· Assess financial and operational impacts of new products
· Research and implement state-of-the-art ML, optimization, and AI solutions
· Collaborate with scientists to evaluate algorithms from a business perspective


The ideal candidate will:
· Have strong statistical foundations
· Excel in Python programming and ML Frameworks
. Lead experimentation efforts and drive measurable impact through AB tests across new initiatives.
· Demonstrate ability to translate complex analyses into business value
. Partner with product teams in evaluating the financial and operational impact of new product offerings.
· Partner with science teams across other organizations to develop state of the art algorithms and models.


This role offers the opportunity to shape the future of e-commerce through innovative data science solutions at scale.



Key job responsibilities
As a Data Scientist, you'll leverage advanced analytics to solve complex business problems where solutions aren't immediately clear. Combining business acumen, statistical expertise, and machine learning knowledge, you'll thrive in our collaborative, learning-focused environment.

You'll work with AWS tools including Redshift, SageMaker, Lambda, S3, and EC2, while contributing expertise in areas such as optimization, machine learning, generative-AI, forecasting, and probabilistic/causal ML. Bring your unique specialties to complement our diverse technical ecosystem.