Data Scientist, North America Stores Expansion
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 an experienced 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
Lead independent research initiatives in network optimization and financial modeling
The ideal candidate will:
Drive projects independently and partner with product/engineering teams
Have strong statistical foundations
Excel in Python and R programming
Demonstrate ability to translate complex analyses into business value
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.
Apply Now
We're seeking an experienced 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
Lead independent research initiatives in network optimization and financial modeling
The ideal candidate will:
Drive projects independently and partner with product/engineering teams
Have strong statistical foundations
Excel in Python and R programming
Demonstrate ability to translate complex analyses into business value
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.
Apply Now